Jobs Data & Analytics

ABOUT THE COMPANY

We are an iGaming company with 3+ years of experience, 1,500+ team members, and a portfolio of 11+ successful products in Tier 1–3 markets. We are actively scaling new products and markets, building strong affiliate ecosystems, and strengthening our position within the industry.

ABOUT THE ROLE

We are launching a new Tier-1 project and need someone to build the analytics and fraud control system from scratch — from reporting setup to identifying revenue leak points and suspicious activity across the product.
 

WHAT YOU WILL DO

• Build the reporting system in Microsoft Power BI
• Set up key dashboards for Product, Marketing, Affiliate, and Payments teams
• Ensure data accuracy and completeness
• Analyze key metrics: FTD, conversion, ARPU, GGR, NGR, retention
• Analyze affiliate traffic quality and source performance
• Monitor the full funnel: visit → registration → deposit → gameplay → withdrawal
• Identify suspicious user behavior patterns
• Analyze multi-accounting, anomalies, and low-quality traffic
• Participate in building fraud prevention and anti-fraud logic
• Highlight problem areas and growth opportunities
• Provide recommendations to Product, CRM, Marketing, and Affiliate teams
• Analyze traffic and metric drops, anomalies, and inconsistencies
• Collaborate with Product, CRM, Payments, Marketing, and Affiliate teams
• Help teams make data-driven decisions
• Ensure transparency and consistency of metrics
• Verify correct tracking setup and event collection
• Work with data discrepancies and inconsistencies
• Conduct reconciliations for affiliate traffic and partner payouts
• Ensure unified understanding of metrics and traffic quality across teams
   

FIRST 30–60 DAYS

• Set up core dashboards in Microsoft Power BI
• Verify the accuracy of all key data and metrics
• Build reporting systems for Product, Marketing, Retention, and Affiliate teams
• Set up the main product funnel and key KPIs
• Conduct the initial product analysis and identify problem areas
• Highlight the first revenue leak points and growth opportunities
   

WHAT WE EXPECT AS OUTCOMES

• Fully operational analytics and reporting system
• Transparent and aligned metrics across teams
• Regular analytical insights and actionable recommendations
• Identified and partially resolved revenue leak points
• Established core fraud prevention and control processes
   

WHAT WE ARE LOOKING FOR

• 3+ years of experience as an analyst in iGaming / online casino — required
• Experience with product analytics and key business metrics
• Experience with fraud / risk analysis is a strong advantage
• Experience analyzing traffic and evaluating source quality
• Experience working with traffic acquisition data will be a plus
• Formal education is not critical — hands-on experience and practical skills matter most
   

Technical skills:

• Strong proficiency in Microsoft Power BI — required
• Experience working with data and building dashboards
• Understanding of key metrics: FTD, GGR, NGR, LTV, etc.
• Experience analyzing funnels and user behavior
• Basic SQL knowledge is preferred
• Tools: Microsoft Power BI, analytics systems / databases, tracking and event analytics tools
   

WHY JOIN US

• Fully remote work
• Competitive salary aligned with your expertise and contribution
• Paid vacation, sick leave, and an additional birthday day off
• Professional growth and continuous development opportunities
• Internal knowledge-sharing sessions and company events
• Fast decision-making without excessive bureaucracy
• Freedom from micromanagement and rigid hierarchies
• Dynamic environment with ambitious goals and expansion plans

Ready to take your expertise to the next level in the rapidly evolving AdTech industry? Join Sigma Software’s Stellar Competence Center — a dedicated business unit focused on delivering cutting-edge advertising technology solutions to global leaders and innovative startups. As a Senior Business Analyst, you will work on complex, high-profile projects, collaborating with top-tier professionals and leveraging AI-driven automation to shape the future of digital advertising.

This full-time remote role offers a dynamic environment with opportunities for career growth, innovation, and global impact. You will be part of a 300+ expert team committed to excellence.

Why Join Us: Work with some of the largest AdTech companies worldwide, contribute to AI-enabled solutions, and grow your expertise in a Competence Center that values innovation and domain mastery

Customer

Our customers are leading company in the Advertising Technology industry, specializing in solutions that enable, optimize, and automate digital advertising campaigns across multiple platforms. Their mission is to empower advertisers with data-driven personalization, AI-powered automation, and cross-platform campaign management. The AdTech market is experiencing rapid growth, and our customer is at the forefront of this transformation.

Requirements

• 5+ years as Business Analyst or BI Analyst
• 1–2 years performing Product Owner-like responsibilities
• Proven ability to translate complex business needs into functional/data requirements
• Hands-on experience with BI tools and basic SQL
• Advanced experience with Jira, MS PowerPoint, MS Word, diagramming tools
• Practical experience with AI/LLM concepts and prompt-based solutions
• Strong analytical and critical-thinking mindset
• Excellent communication, facilitation, presentation skills
• Ability to prioritize and work independently in dynamic environments
• Upper-Intermediate or higher English level

WILL BE A PLUS

• Experience in AdTech or digital advertising
• Experience supporting pre-sales or discovery phases

Personal Profile

• Analytical thinker with strong business acumen
• Comfortable engaging with senior stakeholders and technical teams

• Self-driven, adaptable, and proactive in problem-solving

   

Responsibilities

• Lead business analysis for complex, multi-system solutions and AI-enabled automation projects
• Collaborate with stakeholders to understand advertising workflows and translate goals into structured requirements, user stories, and success metrics
• Facilitate workshops, interviews, and requirements elicitation using appropriate analysis techniques
• Create and maintain BA artifacts (requirements, WBS, process flows, decision logs, wireframes)
• Validate user stories, acceptance criteria, assumptions, and business rules
• Partner with engineering and data science teams to ensure solution alignment
• Identify and communicate risks related to design, scope, dependencies, and timelines
• Support scope definition, change management, and process optimization (“as-is” / “to-be”)
• Provide data-driven analysis to support executive decision-making
• Plan and lead User Acceptance Testing (UAT) and participate in pre-sale activities

Numerical Technologies LTD is a leading provider of custom software solutions and services specializing in risk, limits, and regulatory capital. Right now, we are looking for a Database Architect/Engineer to join our team.

What you will be doing:

• Lead analysis and decomposition of a large-scale Oracle system with 15+ years of PL/SQL code — separating business logic, CRUD, and dead code, defining what remains in the database vs what is moved out.
• Own dependency analysis of PL/SQL packages and architect schema decomposition and data ownership across domains — defining which service owns which tables post-migration.
• Own dual-run and dual-write strategies during migration.
• Ensure backward compatibility through additive-only schema changes under production constraints.
• Lead performance tuning, SQL optimization, and execution plan analysis.
• Design and manage hybrid (on-prem + cloud) database topology during live migration, including AWS RDS Oracle with cross-region replication and Direct Connect latency management.

• Own data lineage documentation and audit trail design across migrated services.

   

Project:

• Migration of a monolithic Oracle system — 723+ tightly coupled PL/SQL packages — to a decomposed architecture with gradual dual-run migration and controlled schema evolution in production.
• Redesign of cross-domain dependencies and data ownership model.

• Hybrid on-prem + AWS topology during transition, with Aurora PostgreSQL as the long-term migration target.

   

What we're looking for:

• Strong Oracle Database 19c+ experience.
• Strong PL/SQL (packages, procedures, functions, triggers).
• Oracle performance tuning (Explain Plan, AWR/ASH, indexing, partitioning).
• Large-scale established Oracle system experience.
• Experience with database modernization / monolith decomposition.
• Strong understanding of dual-run / dual-write consistency.
• Experience with Flyway or Liquibase.
• Ability to make architectural decisions in complex established database environments.
• Experience with AWS RDS Oracle — TDE encryption at rest, backup/recovery strategy, cross-region replication.
• Familiarity with Aurora PostgreSQL as a long-term migration target from Oracle.
• Understanding of data ownership mapping, data lineage, and audit trail design in the context of domain decomposition.
• GDPR/SOX compliance awareness in database architecture decisions.

What we offer:

• Competitive compensation depending on experience and skills.
• Regular assessments and salary reviews.
• Paid personal days.
• Mental health support program.
• Language classes.
• Flexible working schedule.

Project Description

This team is working with an AI chip company that develops specialized software-centric Machine Learning Systems-on-Chip (MLSoC) to enable high-performance, power-efficient "Physical AI" at the edge. Their technology is designed for robotics, autonomous vehicles, and smart cameras, allowing them to process complex computer vision and multimodal AI tasks locally with very low power consumption.

Job Description
The ideal candidate is an ML engineer with a strong background in autonomous systems and mobile robotics. The role requires someone who has spent meaningful time training ML models for complex autonomous platforms—focusing on perception, navigation, and control in GPS-denied, high-speed, and visually complex environments.

The candidate must have hands-on production experience with NVIDIA Isaac Sim and the Omniverse ecosystem, including building photorealistic simulation environments, running Omniverse Replicator synthetic data pipelines for perception, and closing the sim-to-real gap on real robotic hardware. Experience with reinforcement learning or imitation learning for navigation policies is required—specifically training agile navigation policies in simulation and validating them on hardware. A background from an autonomous robotics company, a research group, or an embodied AI team is a must.

On the ML side, the candidate will own the full perception model pipeline: training and fine-tuning visual-inertial odometry components, stereo depth estimation, and defect detection models on synthetic sensor data generated in Isaac Sim; quantizing those models to INT8/BF16 for deployment on the customer MLA; and profiling MLA utilization across navigation, inspection, and complex tracking use cases. The candidate will be the first to apply the custom Palette toolchain to a robotics AI stack—a genuinely novel workload requiring comfort navigating a custom MLA compiler with limited prior art. Strong PyTorch proficiency, familiarity with autonomous control stack integration, and a demonstrated track record of deploying perception models on real-world hardware are essential.

Job Responsibilities

We are seeking an exceptional Senior/Principal Engineer, Robotics Software to join our cutting-edge Robotics and AI software team. The ideal candidate brings deep, hands-on experience in autonomous mobile robots (AMRs), aerial robots. 

• Drive technical discussions relating to architecture, design, and development of software and hardware systems for AMRs, and/or humanoid robots.
• Build and deploy perception, localization, and navigation systems using Lidar-based and Visual SLAM techniques.
• Integrate deep learning models for object detection, motion planning, behavior prediction, and scene understanding.
• Contribute to or lead R&D efforts related to Generative AI and its applications in robotics.
• Collaborate with cross-functional teams including electrical engineers and AI scientists to deliver complete solutions.
• Mentor junior engineers and provide strategic input into long-term robotics and AI vision.

We are an international developer of IT products for medicine and related services. Our products are used by more than 5,000 doctors and more than 1,000 clinics in Europe.

The goal is to attract the largest possible audience to the main projects - clinics and doctors up to 3 million. As well as expanding unique traffic to 10 million per day until 2025. We are looking for AI Engineer / AI Architect with deep knowledge of Fundamental Mathematics, Probability Theory and Bayesian Statistics, Graph Algorithms, Mathematics of Transformers, Hybrid AI Approaches, Uncertainty Assessment.

Must-have skills are:
1. ML and Data Science (Core):
- Expert in NLP & LLM: Deep understanding of Transformers architecture (BERT, RoBERTa, GPT, T5, Llama/Mistral). Experience with Large Language Models (LLM) – not prompt engineering, but fine-tuning (PEFT, LoRA) of open-source models on specific datasets.
- RAG (Retrieval-Augmented Generation): Experience building RAG systems is required. The AI ​​must be able to search for information in different data sources.
- Named Entity Recognition (NER) & Information Extraction: Ability to extract specific entities from unstructured text.
- Tabular Data & Classic ML: Confident use of classical algorithms (XGBoost, CatBoost, LightGBM) for analyzing structured data and building probability scoring models.
- Frameworks: PyTorch (preferred) or TensorFlow/Keras. Proficiency in HuggingFace, Scikit-learn, Pandas, and NumPy.

2. MLOps:
- Experience wrapping models in APIs (FastAPI, Flask) with minimal latency. 

- Docker knowledge and experience working with local GPU instances are required.
- Experience working with vector databases (Pinecone, Milvus, Qdrant, ChromaDB) for quickly searching for similar cases or working with knowledge bases.

- ML Pipelines: Experience building model training and retraining pipelines (Airflow, MLflow, DVC).

3. MedTech and Security:
- Practical working experience with sensitive personal data and GDPR/DSGVO requirements.

- It is important to be able to deploy and optimize local models (Llama 3, Mistral, Mixtral) within a closed company environment to ensure data privacy.
- Skills in quantization and distillation of models to speed up work without significant loss of quality.

Nice-to-have skills:
- Experience working specifically with medical data (EHR, EMR; HL7, FHIR, ICD-10/11 standards). 

- Knowledge of Interpretability/Explainable AI (XAI) methods. The end user should understand why the AI ​​suggested a particular option (SHAP, LIME).

- Experience with multimodal models.

What we offer:
- Paid holiday for 28 working days.
- Transparent incentive system.

Working with us means:
- Unique technological and innovative projects.
- Gaining experience in modern western world practices in security, scalable architecture, etc.
- In-depth knowledge of telemedicine.
- Working with Big data, high load, distributed computing and data buses.
- Socially important projects.
- Opportunity to influence both technology and product solutions.
- Profitability and stability of a large European company.

The Mission
Are you a cloud architect who finds beauty in a perfectly orchestrated pipeline? Do you believe that “manual” is a four-letter word? We are looking for a Senior SRE specialized in BI Ecosystems to join our mission-critical Infrastructure team.
In this role, you won’t just “maintain” systems; you will be the master weaver connecting our advanced Data Analytics tools with a rock-solid, automated GCP/AWS backbone. You will bridge the gap between traditional Business Intelligence and modern Cloud Engineering, ensuring our data flows are fast, our visualizations are seamless, and our infrastructure is invisible.

What You Will Do
1. Master the Orchestration (GCP & GKE)
You will take full ownership of our Google Kubernetes Engine (GKE) clusters. This isn’t just
about pods and services; you’ll manage advanced networking (VPC Service Controls, Shared VPC) and high-availability node configurations to ensure our data platforms never skip a beat.
2. Advance Data Architectures (Lakehouse)
You will design and support a unified Data Lakehouse architecture by integrating BigQuery and Cloud Storage. Your mission is to break down silos, ensuring that our raw data and analytical models coexist in a single, high-performance ecosystem. You will implement robust governance and security policies that ensure data quality and accessibility, providing a “single source of truth” that is both scalable and cost-effective
3. Evangelize Infrastructure as Code (IaC)
Our goal is 100% immutability. You will use Terraform to automate the entire lifecycle of our
GCP resources—from Compute Engine and Cloud Run to Cloud SQL—ensuring consistency
across Dev, Staging, and Production.
4. Empower DataViz Excellence
You will be the enabler for our Data Analysts. You’ll deploy, optimize, and scale Qlik Sense,
Tableau, or Similars environments on GCP, handling everything from SSO/IAM authentication to high-performance connectivity with our backend data sources.
5. Hybrid Cloud & Legacy Modernization
Complexity is our playground. You will manage critical AWS resources (EC2, S3) and ensure
seamless interoperability with GCP. Simultaneously, you will lead the charge in migrating legacy monolithic systems into modern, microservices-based architectures.
6. Data Engineering Collaboration
Working side-by-side with Data Engineers, you’ll help build and maintain robust pipelines using Cloud Dataflow, Cloud Composer (Airflow), and BigQuery. You ensure that the “plumbing” of our data world is leak-proof and high-performing.
7. Reliability, Security & FinOps
● CI/CD: Design sophisticated pipelines (GitLab CI/GitHub Actions) integrating DevSecOps best practices.
● Observability: Implement deep monitoring using Google Cloud Operations Suite and Grafana.
● FinOps: Be the guardian of our budget, identifying and eliminating cloud waste through
smart optimization.

Who You Are (Requirements)
● Cloud Expert: Proven experience managing complex environments in Google Cloud Platform (GCP) and AWS.
● Data Architect: Deep understanding of Data Lakehouse models and governance.
● Kubernetes Pro: Deep knowledge of GKE, including advanced networking and security policies.
● Terraform Ninja: Ability to write modular, scalable, and secure IaC.
● BI Infrastructure Savvy: Experience deploying and tuning enterprise visualization tools (Tableau, Qlik, or Power BI).
● Automation Mindset: Strong scripting skills (Python, Bash, or Go) and mastery of CI/CD engines.
● Data-Driven: Familiarity with Big Data tools like Airflow, BigQuery, and Dataflow.
● Security-First: Solid understanding of encryption, IAM roles, and network security standards.

Why Join Us?
● Impact: You are not a cog in the machine; you are building the machine.
● Tech Stack: Work with the latest tools in the Cloud and Data world (Lakehouse, GKE).
● Culture: We value technical excellence, proactive problem-solving, and a “fail fast, learn
faster” mentality.
● Growth: We invest in your certifications and continuous learning. Ready to redefine how BI meets SRE? If you are a builder who loves solving the puzzle of high-scale data infrastructure, we want to meet you.

Apply now and let’s build the future of data infrastructure together!

Role Type: Contract / Fixed-Scope Consulting Engagement
Duration: 2–3 months (10–12 weeks)
Allocation: Full-time or near full-time (4–5 days/week preferred)
Location: Remote (Must overlap with Spain / CET ± 6 hours)
Languages Required: Spanish (C1+) and English (B2+)
 

The Opportunity

We are looking for a hands-on Senior Data Science / Analytics Engineering Consultant to audit, redesign, and rebuild our core chargeback estimation and revenue estimation models.

This is a critical, end-to-end project. You will turn existing prototypes into production-grade pipelines within our modern data stack (dbt on Databricks & Python). Additionally, you will design and build a lightweight, business-facing scenario tool that enables finance and operations stakeholders to run “what-if” revenue simulations.

Our Technical Philosophy: Parsimony Over Black Boxes

We explicitly favor simple, highly interpretable, parametric approaches. If your first instinct for a forecasting problem is to throw an XGBoost ensemble, a deep learning model, or an LLM at it, this is not the project for you.

We build models where every parameter carries an explicit business meaning that can be explained to non-technical stakeholders in plain language (e.g., “If price increases by 10%, conversion drops by X% because our calculated price elasticity is −1.3”).
 

Scope of Work & Deliverables

• Phase 1: Discovery & Audit (Weeks 1–2): Review current estimation models (assumptions, dbt lineage, validation methods). Reconcile historical model outputs against actual accounting figures for the last 12–24 months to quantify bias and error. Deliver a written findings report.
• Phase 2: Redesign (Weeks 3–4): Propose the target parametric methodology for each model (granularity, refresh cadence, uncertainty quantification) and secure stakeholder sign-off.
• Phase 3: Rebuild (Weeks 5–9): Productionize the new models in dbt, Databricks, and Python. Use curve-based formulations with fitted historical parameters and clear confidence intervals. Implement strict unit/dbt testing and MLflow tracking.
• Phase 4: Scenario Tool (Weeks 9–10): Build a lightweight business interface (e.g., Streamlit on Databricks or a parameterized Databricks SQL dashboard). Users must be able to input hypotheses (price ±X%, volume ±Y%, mix shifts) and instantly view projected net impact with uncertainty bands.
• Phase 5: Handover (Weeks 11–12): Conduct knowledge transfer sessions, deliver runbooks/model cards, and provide a 2-week post-handover bug-fix support window.
   

Your Profile

• Experience: 5–8+ years in Data Science, Quant Analytics, or Senior Analytics Engineering.
• Production Ownership: Proven track record of owning financial-estimation or forecasting models in production end-to-end.
• The “Parsimony” Mindset: Demonstrable expertise in parametric/curve-based modeling (price elasticity, cohort survival curves, demand curves, GLMs) over black-box ML.
• Stakeholder Tooling: Experience building clean “what-if” tools or financial planning interfaces for business leadership.
• The Stack: Advanced Python (pandas, numpy, scikit-learn, statsmodels, and/or scipy.optimize), production dbt (incremental models, snapshots, tests), and Databricks (PySpark, Delta, workflows).
• Domain Knowledge: Direct experience in payment risk, chargebacks, refund/dispute modeling, revenue forecasting, cohort LTV, or pricing analytics.
• Communication: Exceptional ability to cross-reference data science outputs with strict financial accounting figures.
• Languages: Spanish (C1+) is mandatory for daily synchronization with local finance/ops teams; English (B2+) is required for technical documentation.
   

Nice to Have

• Background in FinTech, subscription models, payments, or high-volume e-commerce.
• Deep familiarity with Unity Catalog, Databricks Workflows, or Airflow.
• A strong track record of successful independent consulting engagements (references requested).

The company is a healthcare data analytics provider offering modern data infrastructure, reporting, and AI‑driven insights. Their technology focuses on improving how healthcare organizations manage, analyze, and use clinical data.

Core Solutions

•  Healthcare data platform: Consolidates structured and unstructured patient data in near real time to create a unified data foundation.

•  Longitudinal clinical data ecosystem: Enables comprehensive management and analysis of patient information.

•  Patient engagement platform: Integrates data from multiple sources to support secure communication and holistic patient care.

•  Population health management suite: Aggregates clinical and claims data, identifies at‑risk groups, and supports interventions to improve outcomes and reduce costs.

•  Care coordination and analytics tools: Provide a complete view of patient data to enhance quality, reduce costs, and support risk stratification.

•  AI and analytics services: Transform healthcare data into actionable insights for better care and operational efficiency.

Main expectations:
1.  Strong Python 3.x backend development (Flask + multithreading)
2.  Solid SQL skills and hands‑on experience with PostgreSQL
3.  Practical experience with BigQuery and Google Cloud services
4.  Containerization skills (Docker/Podman) and basic Kubernetes knowledge
5.  ETL/ELT pipeline experience and large‑scale data processing

Conditions:

• Compensation: 5500–6500 USD/month

• Contract: B2B

• Remote‑friendly

We are looking for an experienced Senior Data Engineer (Microsoft Fabric) to join a project for our client, a leading global contract research organization (CRO) that supports pharmaceutical, biotechnology, and medical device companies in the development of new therapies. The company provides comprehensive clinical trial services, from early-phase development to post-approval studies.

We are seeking a self-motivated professional with strong collaboration skills and a passion for applying technical expertise to help address drug development challenges and enhance a world-class clinical trials informatics platform.

In this role, you will work within cross-functional product teams to design, build, and evolve a modern data platform that directly impacts drug development teams, clinical trial investigators, and ultimately, patients.

What We're Looking For:

• 5+ years of experience in Data Engineering
• Strong hands-on experience with ELT, data pipelines, and data integration tools, including Microsoft Fabric and Azure Data Factory (ADF)
• Proven experience designing and deploying scalable data architectures with a strong focus on ETL/ELT processes
• Solid experience designing, developing, and managing enterprise-grade data platforms
• Experience working with large-scale datasets, modern data warehouse technologies such as Snowflake, and data processing solutions in real-time and batch environments
• Experience with cloud technologies, preferably Microsoft Azure, but AWS will be fine too
• Strong knowledge of database technologies, including Oracle, MS SQL Server, and PostgreSQL
• Experience with data governance concepts, including data lineage, data quality, and data security
• Ability to design and manage data storage, data processing, and data quality frameworks
• Ability to work effectively in a fast-paced environment
• Strong communication and collaboration skills with a team-oriented mindset
• Upper-Intermediate or higher level of English proficiency

Your Responsibilities:

• Architect and implement robust ELT processes using Azure Data Factory and Microsoft Fabric
• Design, develop, and maintain scalable data pipelines that ingest, transform, and deliver data from multiple enterprise sources into Microsoft Fabric Lakehouses, Warehouses, and downstream Azure SQL databases
• Build and maintain cloud-based data platforms and analytics solutions using Microsoft Fabric
• Implement and promote modern software engineering principles and best practices in CI/CD and DevOps
• Collaborate closely with data engineers, infrastructure teams, business stakeholders, and application teams to ensure effective data integration and accessibility
• Partner with data analysts and data scientists to enable analytics and support data-driven decision-making
• Enable and support self-service data engineering capabilities across the wider data organization
• Identify opportunities for improving the data platform infrastructure and deliver scalable solutions
• Monitor system performance, troubleshoot issues, and optimize platform reliability and efficiency
• Develop and maintain technical documentation related to the data platform and its infrastructure

Will Be a Plus:
 

• Experience in healthcare, life sciences, MedTech, or clinical trials domains
• Understanding of healthcare data privacy and compliance standards, including HIPAA
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client:
The company is on a mission to make the world’s industrial environments safer with technology solutions and to drive a paradigm shift in safety from reactive to proactive approaches to reduce the risk of industrial accidents. The team in Ukraine is developing the future of industrial safety based on machine learning, computer vision, and IoT.

About the role:
We are looking for a Data Annotator whose task will be to provide timely and high-quality annotations of images that will be used for training computer vision algorithms. Data Annotator will work closely with data engineers in the tasks of creating datasets for training neural networks.

Requirements:
- Confident PC user.
- Capability to learn and follow annotation guidelines.
- Ability to stay focused during extended periods of monotonous work.
- English proficiency at a Pre-Intermediate level (A2).

Would be a plus:
- Prior annotation experience.
- Interest in data exploration and searching patterns in it.

Responsibilities:
- Perform image annotation (including object detection annotation, segmentation, and key points) with high accuracy, according to the annotation rules.
- Categorize images and videos based on given criteria.
- Meet the required performance and quality KPIs.
- After gaining sufficient experience in data annotation - review other annotators, analyze data and develop guidelines for its annotation.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- 40 days of PTO;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

🔹 100% remote | 🌎 Global team | ⏳ Full-time

NineTwoThree AI Studio is a premier product design, engineering, and marketing firm specializing in custom AI, web, and mobile applications for established brands and funded startups. We are based in Massachusetts but with an American and European staff and a strong, collaborative remote culture.

We’re a team that loves doing good work with great people. Our relatively small size keeps us fast and nimble. The wealth of knowledge, experience and talent paired with proven recipes and best practices allows us to find opportunities to help new products succeed.

With a portfolio of over 150 launched products over 13 years, NineTwoThree has garnered recognition as a top AI agency in the U.S., earning accolades such as inclusion in the Inc. 5000 list for four consecutive years and being named among the top 50 AI firms alongside industry leaders like Microsoft, NVIDIA, and IBM. We’ve built AI and ML tech for big brands like Consumer Reports, FanDuel, and Nara, as well as startups in legal tech, logistics, education, and more. 

Role Overview

As an ML Engineer at NineTwoThree AI Studio, you will sit at the intersection of production-grade software engineering, advanced natural language processing, and client delivery. We build custom, high-impact AI systems for brands and startups across diverse industries (such as healthcare, logistics, and fintech).

Instead of siloed academic research, this role demands a product-minded builder. You will design, optimize, and deploy robust LLM applications, custom predictive analytics, and agentic workflows directly into our clients' software ecosystems, taking absolute ownership of features from prototype to production.

Technology Stack

• Core Frameworks & Arch: Transformer models, modern LLM APIs (Anthropic Claude, OpenAI, AWS Bedrock, etc.), Open-Source LLMs.
• Orchestration & Agentic Design: Experience designing LLM workflows, agentic systems, or retrieval pipelines using frameworks such as Langchain, LangGraph, LlamaIndex, or equivalent approaches.
• Data & Search: Vector databases (Pinecone, pgvector, Milvus, Qdrant, etc.), SQL, and data engineering pipelines.
• Traditional ML: Supervised and Unsupervised learning (Classification, Regression, Anomaly Detection).
• Cloud & Infrastructure: AWS (Lambda, SageMaker, Bedrock, EC2) and modern DevOps/retraining pipelines.
• Languages: Production-grade Python.

Responsibilities

• Architect & Build AI Features: Design and implement robust classical ML and generative AI solutions, striking the right balance between autonomous agentic architectures and deterministic pipelines.
• Evaluate: Design and maintain evaluation frameworks to measure AI quality, reliability, safety, and business impact before and after deployment.
• Integrate & Deploy: Partner closely with full-stack developers and DevOps to seamlessly integrate AI capabilities into client web and mobile applications using serverless architecture (e.g., AWS Lambda) or API endpoints.
• Optimize for Production: Refine prompts, system instructions, and chunking strategies to balance accuracy, latency, token consumption, and data privacy.
• Traditional Predictive Analytics: Clean and process unstructured or historical client data to train/fine-tune custom algorithms for specific business problems (such as forecasting, classification, or anomaly detection).
• Collaborate & Communicate: Actively participate in client discovery sessions, translate ambiguous business requirements into viable technical scopes, and demo prototypes directly to stakeholder teams.
• Maintain Engineering Excellence: Engage in constructive code reviews, implement rigorous validation patterns to test AI outputs, and contribute templates or runbooks to our internal AI knowledge base.

Technical Experience

• Proven Track Record: 3+ years of experience engineering software with a strong focus on machine learning and natural language processing.
• LLM & Generative AI Mastery: In-depth understanding of modern LLM architectures, context window mechanics, semantic search techniques, and the limitations of generative systems. Ability to identify when a deterministic solution is preferable to an LLM or agent-based solution.
• Production experience: Experience building and operating production AI systems, including monitoring, evaluation, debugging, and iterative improvement.
• Evaluation experience: Understanding of evaluation methodologies for LLM-based systems, including retrieval quality, hallucination detection, and task-specific performance measurement. Ability to reason about tradeoffs between quality, latency, cost, reliability, and engineering complexity.
• Python & SQL Proficiency: Exceptional Python coding skills and the ability to query, clean, and structure data efficiently.
• Cloud Infrastructure: Hands-on experience deploying ML or API services within cloud ecosystems, preferably AWS.
• Ownership: Comfortable taking ownership of ambiguous problems from initial discovery through production deployment and ongoing support.

Product & Team Capabilities

• Ambiguity to Execution: Ability to drop into a completely new industry vertical, understand its data constraints, and spin up a working proof-of-concept within a few weeks.
• The "Product Engineer" Mindset: Passion for seeing things ship and understanding why something is being built from a business value standpoint, not just what is being built.
• Communication: Fluent written and spoken English. Comfortable interacting with client stakeholders and breaking down technical workflows into clear concepts.
• Adaptability: Eagerness to experiment with and evaluate fast-emerging AI development tools, models, and frameworks.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience).

What We Offer

• Annual paid vacation: 20 days off per year during the first 3 years, increasing to 25 days in later years
• Paid sick leave, 10 national holidays, and 2 company days off
• Well-being budget
• Global health coverage 
• Maternity/paternity leave
• Reimbursement of expenses for professional development courses and certifications (up to 100% in agreement with Manager)
• Strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor

What's The Process

We value your time and ours and make the process fast and easy. Our interview process takes the following steps: a short interview with the HR, 2nd technical interview with ML Engineer and CTO (optional), 3rd live-coding interview, Offer.

Чи захоплює вас перетворення даних на практичні інсайти? Ми шукаємо Senior BI Engineer, який приєднається до нашої команди Data & Analytics і допоможе формувати звітність, створювати дашборди та розвивати підхід до прийняття рішень на основі даних у різноманітних бізнес- та потенційно державних проєктах.

Це роль рівня Senior із можливістю гібридного або віддаленого формату роботи, що забезпечує гнучкість та можливість співпрацювати з талановитими професіоналами з усього світу. Ідеальний кандидат має значний практичний досвід роботи з BI-інструментами, поглиблені знання SQL, моделювання даних та досвід тісної взаємодії з бізнес-стейкхолдерами. Ця роль вимагає не лише технічної експертизи, але й здатності розуміти потреби бізнесу, трансформувати їх у зрозумілі рішення для звітності та забезпечувати точність і надійність даних.

У Sigma Software ми цінуємо інноваційність, точність і командну роботу та створюємо підтримуюче середовище, де ваші знання та досвід можуть мати реальний вплив.

Чому варто приєднатися до нас? Ви працюватимете над важливими проєктами, отримаєте досвід у різних доменах та матимете доступ до переваг, таких як можливості професійного розвитку, міжнародна командна культура та сучасні технології.

Обов’язки:

— Проєктувати, створювати та підтримувати BI-звіти та дашборди
— Аналізувати бізнес-вимоги та перетворювати їх на звітні рішення
— Працювати зі стейкхолдерами для визначення KPI, метрик та логіки даних
— Писати та оптимізувати SQL-запити
— Перевіряти точність даних та досліджувати невідповідності
— Підтримувати покращення моделювання даних та звітного шару
— Співпрацювати з Data Engineers, Business Analysts, PMs та стейкхолдерами з боку замовника
— Готувати документацію для звітів, метрик та джерел даних
— Вносити вклад у розвиток BI best practices у межах юніту

Вимоги:

— 5+ років досвіду у BI, data analytics або data engineering
— Досвід роботи з Power BI, Tableau, Looker чи подібними інструментами буде плюсом
— Просунуті навички роботи з SQL
— Досвід моделювання даних, роботи зі структурами даних та data warehousing
— Розуміння процесів ETL/ELT та data pipelines
— Досвід очищення, валідації та контролю якості даних
— Вміння працювати з великими наборами даних та складною бізнес-логікою
— Добре розуміння бізнес-звітності, KPI та дизайну дашбордів
— Досвід прямої роботи зі стейкхолдерами для збору вимог та уточнення звітних потреб
— Рівень англійської Upper-Intermediate+

Буде плюсом:

— Досвід роботи з урядовими, державними, медичними, фінансовими або іншими регульованими доменами
— Досвід роботи з Azure, AWS, Snowflake, BigQuery, Databricks або Redshift
— Python або R для аналізу даних
— Досвід роботи з dbt, Airflow, Dagster чи подібними інструментами
— Знання data governance, access control та звітності, пов’язаної з комплаєнсом
— Досвід роботи за Agile

Are you passionate about turning data into actionable insights? We are looking for a Senior BI Engineer to join our Data & Analytics team and help shape reporting, dashboarding, and data-driven decision-making across diverse business and potentially government-related projects.

This is a Senior-level role with hybrid or remote work options, offering flexibility and opportunities to collaborate with talented professionals worldwide. The ideal candidate has strong hands-on experience with BI tools, advanced SQL, data modeling, and close collaboration with business stakeholders. This role requires not only technical expertise but also the ability to understand business needs, translate them into clear reporting solutions, and ensure data accuracy and reliability.

At Sigma Software, we value innovation, precision, and teamwork, and we provide a supportive environment where your expertise can make a real impact.

Why join us? You’ll work on meaningful projects, gain exposure to different domains, and enjoy benefits such as professional growth opportunities, a global team culture, and access to cutting-edge technologies.

Responsibilities:

— Design, build, and maintain BI reports and dashboards
— Analyze business requirements and translate them into reporting solutions
— Work with stakeholders to define KPIs, metrics, and data logic
— Write and optimize SQL queries
— Validate data accuracy and investigate inconsistencies
— Support data modeling and reporting layer improvements
— Collaborate with Data Engineers, Business Analysts, PMs, and customer-side stakeholders
— Prepare documentation for reports, metrics, and data sources
— Contribute to BI best practices within the unit

Requirements:

— 5+ years of experience in BI, data analytics, or data engineering-related roles
— Strong experience with Power BI, Tableau, Looker, or similar tools
— Advanced SQL skills
— Experience with data modeling, data structures, and data warehousing
— Understanding of ETL/ELT processes and data pipelines
— Experience with data cleaning, validation, and data quality control
— Ability to work with large datasets and complex business logic
— Good understanding of business reporting, KPIs, and dashboard design
— Experience working directly with stakeholders to gather requirements and clarify reporting needs
— Upper-Intermediate+ English level

Will be a plus:

— Experience with government, public sector, healthcare, finance, or other regulated domains
— Experience with Azure, AWS, Snowflake, BigQuery, Databricks, or Redshift
— Python or R for data analysis
— Experience with dbt, Airflow, Dagster, or similar tools
— Knowledge of data governance, access control, and compliance-related reporting
— Experience with Agile delivery

Чи захоплює вас перетворення даних на практичні інсайти? Ми шукаємо Senior BI Engineer, який приєднається до нашої команди Data & Analytics і допоможе формувати звітність, створювати дашборди та розвивати підхід до прийняття рішень на основі даних у різноманітних бізнес- та потенційно державних проєктах.

Location: London, UK (relocation is expected)

Employment: Full-time
 

We are looking for a Founding Engineer to join an early-stage AI startup building automation solutions for the Testing, Inspection, Certification, and Compliance (TICC) industry.
 

As one of the first technical hires, you will work directly with the CTO, helping to build the company's core AI platform while working closely with customers to automate real operational workflows.
 

Responsibilities:

• Design, develop, and deploy end-to-end software solutions.
• Work directly with customers to understand their business processes and identify automation opportunities.
• Build AI-powered solutions using LLMs, computer vision, workflow automation, and integrations with third-party systems.
• Develop features from idea to production with a strong focus on business impact.
• Integrate with legacy software, sensors, laboratory equipment, and external APIs.
• Contribute to the architecture of the core platform.
• Help shape engineering processes and grow the engineering team as the company scales.
   

Requirements:

• Strong software engineering background with the ability to work across different technologies and tech stacks.
• Experience building and shipping production software independently.
• Product mindset with the ability to solve business problems through technology.
• Excellent communication skills and ability to work directly with customers.
• Comfortable taking ownership and working in a fast-paced startup environment.
• Willingness to travel across the UK (2–3 days per week during customer onboarding phases).
   

Nice to Have:

• Production experience with AI/ML (LLMs, AI agents, Computer Vision, Data Science).
• Experience with cloud platforms (preferably GCP).
• Previous startup or Founding Engineer experience.
• Experience migrating legacy systems.
• Consulting or Forward-Deployed Engineering background.
• Experience in compliance, inspection, logistics, facilities management, or industrial software.
• Experience working with non-technical stakeholders.

Vacancy Description

We are building a broad blockchain ecosystem – an L2 network, wallet infrastructure, multiple stablecoin products, and the supporting services around them – and we are looking for a DevOps Engineer to help us run and scale the platform behind it. The work is hands-on across platform engineering, reliability, and operations: high-availability services, on-chain integrations, secure production environments, and infrastructure that grows with the products it supports.

Requirements

• 4+ years of professional DevOps or infrastructure experience, including leadership or mentorship roles.
• Deep expertise in Azure cloud provider and familiarity with others.
• Strong hands-on experience with Terraform.
• Proven production-grade Kubernetes experience: cluster provisioning (AKS preferred), Helm charts, Operators.
• Design, implementation, and maintenance of CI/CD pipelines using GitLab or GitHub CI, Argo CD, or similar tools.
• Proficiency in scripting languages for automation and custom tooling.
• Knowledge of secrets management (HashiCorp Vault, Azure Key Vault).
• Solid understanding of TCP/IP, DNS, load balancing, CDN integration, and network security concepts.
• Experience designing storage strategies backup, restore, and Disaster Recovery planning.
• Ability to intervene in operational matters and assist the team directly when necessary.
• Excellent communication and collaboration skills with cross-functional stakeholders.
• High attention to detail, reliability, and ability to meet deadlines in a fast-paced environment.
• Capability to identify risks early, communicate options clearly, and drive timely mitigation.
• Be on time, prepared, and reliable for meetings, handoffs, and releases.

• English skills at least Upper-intermediate.

   

Would be a plus

• Experience with enclaves and secure environments (SGX, Nitro Enclaves or similar)
• Strong consultative skills: ability to translate client business goals into technical requirements and actionable roadmaps.
• Comfort working with multiple concurrent client projects, balancing competing priorities, and triaging incidents.
• Exceptional verbal and written communication: present technical solutions, write clear documentation, and lead regular status meetings with both technical and non-technical stakeholders.
• Passion for upskilling team members: conduct workshops on new tools (e.g., migrating on-premise workloads to Kubernetes) or share best practices for secure coding and infrastructure hardening.
• Understanding of more complex blockchain-related terms and concepts (rollups, smart-contracts, consensus, etc.)

• Hands-on experience with Web3/Blockchain projects and related infrastructure

   

Responsibilities

• Continuously evaluate new tools, platforms, and best practices to improve delivery speed, reliability, and security
• Participate in the planning and implementation of new approaches and tools
• Architect and implement CI/CD pipelines for diverse technology stacks (microservices, monoliths, serverless).
• Develop and maintain Infrastructure-as-Code (IaC) modules (Terraform) for reproducible environments.
• Oversee container orchestration (Kubernetes) and related tooling (Helm, Argo CD).
• Define and enforce network, storage, and compute configurations to meet scalability and high-availability requirements.
• Evaluate, select, and integrate monitoring, logging, and alerting solutions (Prometheus, Grafana, ELK).
• Propose best practices for peer reviews, knowledge sharing, and continuous learning.
• Support multiple project teams in an ad-hoc manner

About us:
Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team comprises over 350 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team.

Our mission:
Become a stepping stone on our customers’ journeys of self-improvement.

Our values:

• Deliver what matters
• Respect and support others
• Initiate and own
• Voiceopenly
• Execute with quality

If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com.

Responsibilities:

• Engage with key stakeholders (product managers, marketers) to identify needs and shape the analytics strategy.
• Translate stakeholders' business questions into concrete metrics and analytical tasks; deliver decisions, not raw numbers.
• Build and maintain dashboards, reports, and key metrics to support data-driven decision-making.
• Build and validate LTV predictions for the web funnel, including early/predicted LTV on short cohort history. 
• Design event taxonomy and Amplitude dashboards for specific PMM, PM, and UAM requests. 
• Analyze the web funnel: diagnose drop-offs between steps, assess the impact of changes on conversion and monetization. 
• Compute product unit economics: ARPU, retention, payback, and ROAS tied to UA data.

Requirements:

• 1.5+ years as a Product Analyst
• Strong SQL: cohort analysis, retention, revenue aggregations. 
• Hands-on LTV/pLTV experience: understands the methods (cohort extrapolation, survival, ML regression), their limitations with small data, and how to validate predictions. 
• Amplitude: dashboard building, event taxonomy. 
• Understanding of mobile/web subscription-product metrics and UA logic (CPI, ROAS, ARPU, payback). 
• A/B testing methodology.
• Hands-on experience with BI tools such as Tableau or Power BI.
• Effective communication and presentation skills to convey analysis results clearly and compellingly.

Would be a plus:

• Python skills (pandas, data visualization, statistics) for data manipulation and analysis.
• Experience with MMP data (AppsFlyer/Adjust).
• Hands-on experience with subscription products.
• Data engineering.
• Direct experience working with a UA team.

Employee Benefits:

• Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs.
• Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy, autonomous hub) and 50% compensation for coworking spaces worldwide to ensure everyone has a comfortable and inspiring workspace.
• Free Office Lunches: We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday.
• Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year.
• 100% Sick Leave Compensation
• Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, and therapy costs.
• Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools.
• Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses.
• Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart.
• Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.