Jobs Data Science

Dataforest are looking for a highly experienced Team Lead Data Science with a strong engineering and managerial background (10+ years in the domain). In this role, you will lead and scale our AI/Data Science practice, establish robust development processes, drive pre-sales and R&D activities, and effectively manage an engineering team of 8–10+ members.
 

 What you’ll do:

• Team Leadership & Management: Lead and grow the Data Science department (8–10+ people), perform 1-on-1s, technical assessments, and performance reviews.
• Architecture & Strategy: Define the AI/DS architecture and tech strategy, establish high-quality coding standards, and oversee code reviews.
• Business & Pre-sales: Collaborate closely with C-level executives (CEO/CTO) to shape development processes, lead pre-sale activities, and estimate complex AI projects for international clients.
• R&D & Solution Delivery: Drive complex AI projects from concept to production (High-Load systems, LLM/RAG solutions) and conduct R&D with cutting-edge technologies.
   

 You'll be a great fit if you have:

• 10+ years of total experience in Data Science, Machine Learning, Data Engineering, and Software Engineering.
• Management Experience: Proven track record of leading teams of 8+ engineers (Data Scientists, ML Engineers).
• AI & LLM Expertise: Deep practical knowledge of the modern AI stack: LLM, RAG, LangChain, LangGraph, and AI Agents.
• Core Tech Stack:
  • Mastery of Python, algorithms, and data structures.
  • Proven experience in building scalable ML/DS architectures and high-load production systems.
  • Solid understanding of MLOps, Docker, Kubernetes, and CI/CD pipelines.
• Business Analysis & Pre-sales: Demonstrated capability in project estimation, client communication, and translating complex business requirements into technical solutions.
• English: Upper-Intermediate (B2+) or higher for fluent communication with international clients.

We ensure your growth with:

• Great networking opportunities with international clients and challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leave;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team-building activities and corporate events.

We are looking for a Senior AI/ML Engineer to design, develop, and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready machine learning and LLM-based solutions, from understanding business needs and exploring data to designing technical approaches, implementing solutions, and integrating them into Foundry workflows. You will work closely with data engineers, business analysts, and domain experts, contribute to technical decisions, and help establish best practices for building scalable and reliable AI solutions.

Key Responsibilities:

• Design and develop AI/ML solutions for predictive analytics, classification, forecasting, automation, and AI-assisted workflows within Palantir Foundry, leveraging Python, Ontology objects, pipelines, and workflows.
• Design, implement, evaluate, and optimize LLM/NLP and RAG solutions using Palantir AIP, including prompt engineering, embeddings, retrieval strategies, vector search, and text processing.
• Own the end-to-end lifecycle of AI solutions, from experimentation and model development to deployment, monitoring, and continuous improvement.
• Collaborate with data engineers to understand data sources, ensure data quality, and design efficient and scalable data processing approaches.
• Integrate AI solutions into production workflows and optimize them for accuracy, reliability, latency, scalability, and cost-efficiency.
• Contribute to technical architecture and design decisions, including model, framework, and tool selection; proactively identify technical risks, improvement opportunities and proactively propose solutions.
• Work with business and domain stakeholders to translate business needs into practical, scalable, and production-ready AI solutions, clearly communicating technical decisions and model limitations.
• Identify technical risks, limitations, and opportunities for improvement and proactively propose solutions.

Requirements:

• 4+ years of experience in machine learning, AI engineering, applied data science, or related fields.
• Strong Python skills and hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Strong practical experience with LLMs, NLP, or GenAI applications, including prompt engineering, embeddings, text processing, summarization, or similar use cases.
• Solid hands-on experience designing and implementing RAG architectures, vector databases, and retrieval strategies.
• Strong understanding of the ML lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
• Experience working with both structured and unstructured data, including tabular data, time series, text, and documents.
• Ability to independently analyze ambiguous problems, propose technical approaches, and drive solutions from concept to implementation.
• Strong communication skills, with the ability to explain AI concepts, technical decisions, and model behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to Have:

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

We are looking for a Computer Vision Engineer with strong experience in deep learning and applied computer vision systems.
The role involves working on challenging CV problems in real-world environments.
We consider Middle and Senior engineers, with scope adapted to experience.
Responsibilities

• Develop, train, and optimize deep learning models for:
  • image retrieval
  • image matching (keypoint detection and matching)
  • auxiliary perception tasks supporting the main pipeline
• Evaluate models using quantitative metrics, including:
  • retrieval quality (mAP, Recall@K)
  • matching performance (precision/recall, repeatability)
  • end-to-end system metrics (accuracy, latency, robustness)
• Optimize models for production deployment using modern toolchains:
  • ONNX / TensorRT / OpenVINO / edge acceleration where applicable
  • model compression techniques (quantization, pruning, distillation)
  • latency, memory, and throughput optimization
• Work with large-scale visual datasets and descriptor-based representations
• Collaborate with engineering teams to integrate models into production systems

Required Qualifications

• 2–4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with keypoint detection and matching models (e.g. SuperPoint, R2D2, DISK, LightGlue, SuperGlue)
• Experience with image retrieval or metric learning systems
• Strong understanding of geometric and motion-related computer vision concepts:
  • keypoint detection and description
  • image matching and geometric verification (RANSAC, homography, PnP)
  • pose estimation and refinement techniques (PnP, bundle adjustment, pose graph optimization)
  • optical flow and frame-to-frame tracking
  • vector search / ANN methods for descriptor retrieval
• Strong Python skills (PyTorch and scientific computing stack)
• Ability to read and understand inference code in C++

Nice to Have

• Experience with noisy or imperfect real-world datasets
• Self-supervised or unsupervised learning methods (contrastive learning, homography supervision, etc.)
• Experience optimizing models for edge deployment (quantization, pruning, distillation)
• Familiarity with FAISS or similar vector search systems
• Experience with optimization libraries for geometric problems (bundle adjustment, pose refinement)
• Understanding of real-time constraints (latency, memory, CPU inference budgets on ARM or low-power x86 systems)

We’re building an internal platform for AI agents that take on real work across the company, from operations to finance and HR. The first version is already running. We’re looking for an engineer to take it to production, grow it, and own it.

Responsibilities

• Take the platform to production. Turn the agent studio from a working prototype into a stable product the company relies on, and own its architecture
• Build the core infrastructure. Develop the LLM gateway, the connector service, and support for skills and MCP, so agents can use models, tools, and business systems safely
• Grow the connector library. Add and maintain connections to the systems our teams work in, starting with what Operations needs most
• Run the software factory. Keep the AI coding agents shipping routine tasks and bug fixes, and improve how work flows through it
• Keep it secure and reliable. Own access control, SSO, audit, monitoring, and on-call for everything you build
• Work with the people who use it. Onboard new users, support the business analysts who build agents, and turn their feedback into the roadmap

Required Skills & Experience

• Experience shipping production systems and being on call for them
• Strong TypeScript skills
• Hands-on experience building with LLMs beyond the demo: agents, tool calling, and evals
• Solid understanding of security fundamentals: access control, SSO, and audit
• Drive for ownership and the ability to do your best work where there’s no playbook yet

Nice to Have

• Experience with durable workflow engines
• Experience building no-code or workflow builders
• Security or compliance work on AI systems

We offer:

• Official employment in accordance with Ukrainian labor law.
• Military service deferment.
• Modern working equipment.
• Regular performance reviews to support your professional growth.
• 24 working days of paid vacation annually.
• Paid sick-leaves.
• English language classes.
• Compensation for educational and training programs.
• Team buildings and corporate events in a friendly and collaborative environment.

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

We are seeking a Senior Snowflake Developer who will be responsible for designing, developing, and maintaining scalable data solutions that effectively meet the needs of our organisation.

The role will serve as a primary point of accountability for the technical implementation of the data flows, repositories and data-centric solutions in your area, translating requirements into efficient implementations.

• Responsibilities:

  • Design and work with Snowflake databases, schemas, views, and RAW, STG, and MART data layers.
  • Manage access using RBAC, role hierarchies, row-level security, and column-level access policies.
  • Work with dynamic tables, external stages, Snowpipe, and batch data loading.
  • Build and support reliable, production-grade Snowflake data pipelines.
  • Write optimised SQL queries for data extraction, transformation, and loading.
  • Utilise Python for advanced data processing, automation tasks, and system integration.
  • Be an advisor with your In-depth knowledge of Snowflake architecture, features, and best practices.
  • Develop and maintain complex data pipelines and ETL processes in Snowflake.
  • Collaborate with data architects, analysts, and stakeholders to design optimal and scalable data solutions.
  • Automate DBT Jobs & build CI/CD pipelines using Azure DevOps for seamless deployment of data solutions.
  • Ensure data quality, integrity, and compliance throughout the data lifecycle.
  • Troubleshoot, optimize, and enhance existing data processes and queries for performance improvements.
  • Document data models, processes, and workflows clearly for future reference and knowledge sharing.
  • Build Data tests, Unit tests and mock data frameworks
  • Good to have AWS and Streamlit knowledge

• Mandatory Skills Description:

  • Master’s degree in computer science, Information Technology, or a related field.
  • 5+ years of overall experience in data engineering, including relevant and hands-on expertise in Snowflake and DBT.
  • Extensive hands-on experience in writing complex SQL queries, demonstrating proficiency in data manipulation and analysis for large data volumes.
  • Strong understanding of data warehousing concepts, methodologies, and technologies with in-depth experience in data modelling techniques (OLTP, OLAP, Data Vault 2.0)
  • Experience building data pipelines using DBT (Data Build Tool) for data transformation.
  • Familiarity with advanced techniques for performance tuning methodologies in Snowflake including query optimization.
  • Strong knowledge with CI/CD pipelines, preferably in Azure DevOps.
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Strong communication, collaboration, and interpersonal skills.

United Tech is a global IT product company shaping the future of real-time social connection.

With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking.

Our platforms enable connection at scale fast, interactive, and deeply engaging.

The market is projected to exceed $206B by 2030, and we are already leading the evolution.

Founded in Ukraine, scaling worldwide. Are you in?

About the role: This is a role for a leader who thrives in a fast-moving product environment, where challenges fuel growth and every decision shapes the future. With United Tech you will have the freedom to design, build, and re-engineer processes from the ground up, working side by side with a team that values initiative, knowledge sharing, and bold goals. Your ideas will directly influence revenue, and you will see the tangible results of your work reflected in key financial metrics. We move fast, we cut through bureaucracy, and we take on complex challenges that push both personal and professional boundaries, limited only by the scale of your ambitions

In this role, you will

• Build, scale, and develop the Data Science team, including hiring, mentoring, and performance evaluation
• Define and execute a Data Science strategy aligned with business priorities
• Oversee the full lifecycle of DS projects from problem formulation to deploying models into production
• Prioritize initiatives based on business impact (ROI, time-to-market)
• Collaborate closely with product managers, analysts, engineers, and C-level executives

It’s all about you

• Proven ability to implement best practices in Data Science: reproducibility, A/B testing, ML monitoring
• Strong track record in maintaining model quality (performance, drift, latency)
• Advanced Python skills (pandas, sklearn, numpy, xgboost; pytorch/tf is a plus)
• High-level SQL expertise (large datasets, query optimization)
  Hands-on experience with ML pipelines, orchestration (Airflow, Prefect), and monitoring (Evidently, MLflow, Prometheus)
• Experience with GCP
• Solid understanding of A/B testing, causal inference, and statistics
• Familiarity with architecture fundamentals (API, data pipelines, microservices — integration level)
• Cloud experience with AWS or Azure
• Knowledge of distributed computation tools (e.g., Spark, CloudRun)
• Proven track record with generative AI/NLP model deployment
• Experience in startups or high-growth companies
• Publications, conference speaking, achievements on Kaggle, or open-source contributions

Would be a plus

• Experience optimizing company processes through AI solutions
• Implementation of AI tools across departments (development, support, marketing, etc.)

What we offer

Care and support:

• 20 paid vacation days, 15 sick leave days, and 6 additional days off for family events
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Maternity Recovery Support Allowance
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule
• Modern equipment or depreciation of your own tools

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
• AI is an integral part of our work culture. We invest in modern AI tools, equip our teams with the skills to use them effectively, and foster an environment where technology helps people achieve better results faster
   

Hiring process

• Intro call
• Technical Interview
• Interview with Hiring Manager
• Final Interview
• Reference check
• Offer

Evowill is looking for a Junior Data Scientist who is passionate about data analysis, machine learning, and extracting insights from data, and eager to grow in a supportive and dynamic environment. We offer a clear path: starting with a hands-on internship and transitioning into a commercial project role — 100% of our juniors join real projects.

Requirements:

• Knowledge of Python
• SQL (MySQL / PostgreSQL)
• Basic understanding of Machine Learning (scikit-learn)
• Basic data analysis skills (Pandas, NumPy)
• Solid statistics foundations
• Git, GitHub/GitLab
• English: Intermediate
• Pet projects (data analysis / ML) 
• Fast learner, organized, responsible
   

Would be a plus:

• Quantitative Science (Math, physics, statistics) or Engineering with ML or modeling majors (3rd year or higher)
• Experience with statistical or numerical modeling or having participated in data related research teams
   

Internship Stage (3 months):

• Full-time, practical learning
• Pet projects, technical interview preparations, and soft skills training
• English Speaking Club
• Senior Developers mentors from Ukraine and Colombia
• Technologies: Core Data Analysis and Modeling, Python libraries, as well as learning to apply modern ML techniques to real-world data.

Project Stage:

• Join commercial projects as a Data Scientist
• Salary from $1000 with regular reviews
• Ongoing mentorship and technical support
• Optional English club and extra tech learning

Gamzix is a high-growth international licensed iGaming provider, creating high-performing games and scalable, cutting-edge solutions for the global market.
Our team of 150+ specialists operates globally, with Warsaw as our main hub office. We are driven by continuous improvement and a people-first culture where we communicate openly, win together, and truly enjoy the game we’re building.
We operate under an MGA B2B Critical Supply License and certifications from iTechLabs and GLI, ensuring our products meet high standards of quality, compliance, and performance across markets.

We are looking for a Game Mathematician to create, calibrate, deeply tune, and validate mathematical models for our slot games. We are scaling our mathematical department to transition to a dedicated structure, assigning one dedicated mathematician to each of our game streams. 

Responsibilities

• Develop and design mathematical models for slot games from initial concept to release
• Collaborate closely with Game Producers to refine, balance, and tune game concepts
• Validate, simulate (alongside simulation developers), and sign off on mathematical models to ensure they perform strictly as intended
• Troubleshoot with engineers on the precise technical implementation and integration of math models
• Maintain structured documentation and records of game math files, configurations, and simulation benchmarks
• Provide expert math support and clear explanations for game designers, engineers, compliance, and other internal teams
• Deliver early feedback and predictions on player engagement based on the game's mathematical profile
• Design and propose original features and mathematical solutions for diverse game mechanics
• Analyze BI performance data of live games to continuously tune and optimize mechanics based on real metrics
• Mentor and support junior team members, guiding them through technical decisions during math creation

Requirements

• 2–3 years of practical commercial experience creating mathematical models specifically for slot games (experience in game providers, dedicated slot studios, or outsource)
• Deep knowledge of probability theory, combinatorics, RTP calculation, volatility, and mechanics balancing
• Proficiency in specialized mathematical modeling tools, simulation software, and working with math files
• Hands-on experience with Python and/or C++ for calculations and simulations
• Experience working with BI analytics to evaluate product performance
• Perfectionism and strong attention to detail: a drive to bring models to perfection, deeply tune, and polish the math
• High level of autonomy with the ability to conduct calculations and manage your workflow independently without micromanagement
• Solid communication skills for regular dialogue with the Game Producer and the wider team

Benefits

• 7-hour working day, 10:00 AM—6:00 PM, including a lunch break
• A-class office in Mokotów, Warsaw
• Competitive salary in the IT field, with taxes paid
• 10 days of paid sick leave
• 28 days of paid vacation: 18 days plus 10 additional days separately
• Paid state holidays
• Medical insurance
• Courses and training reimbursement
• Referral bonus for bringing talented people to the team
• Corporate English courses: business or general English, with morning and evening schedules
• People-oriented company with a focus on work-life balance
• Open and friendly communication
• Corporate team-building events and activities

Please note that feedback on your application will be provided within two weeks if a positive decision is made regarding your candidacy.

*This is 4-hour role, for a 20-hour working week that requires coverage within the 08:00 - 17:00 CET timezone, Mon-Fri

Role purpose

Act as the Data Steward for M&S Cockpit, serving as a key liaison between business stakeholders, data providers, and technical teams for one of the biggest food and beverages company - a long-temr customer of ours. The role focuses on understanding business requirements, coordinating data validation activities, ensuring data quality and consistency, and resolving discrepancies across sources, mappings, and reporting outputs. It combines stakeholder management, business analysis, and data governance, ensuring that datasets are reliable, aligned with business expectations, and ready for downstream consumption.

The Data Engineering team builds and maintains pipelines, while mappings and configurations determine cell/model scope; Snowflake extraction jobs run SQL through Databricks, with Blob Storage, validation, Medallion transformations, Power BI review, and Gold delivery to Ekimetrics. The operating model also requires end-to-end triage across MDFA, CDF, WPP, Data Foundation, Redmill, and market stakeholders rather than treating every discrepancy as a coding defect.

Key responsibilities

• Act as a Data Steward for the M&S Cockpit, ensuring data quality, consistency, completeness, and alignment with business requirements.
• Serve as a key point of contact for business stakeholders, including Product, CMIA/markets, WPP/MDFA, CDF, data providers, and Ekimetrics, to understand data needs, clarify expectations, and coordinate priorities.
• Facilitate discussions with stakeholders to identify data issues, gather requirements, agree on definitions, and translate business needs into actionable tasks for technical teams.
• Coordinate data validation activities, ensuring that new data sources, market updates, and reporting outputs meet agreed business expectations.
• Monitor and investigate data-quality issues, including missing data, inconsistencies, anomalies, incorrect mappings, taxonomy differences, and reporting discrepancies.
• Collaborate with Data Engineers and other technical teams to resolve data issues, improve data flows, and ensure reliable delivery of information.
• Maintain and improve data definitions, business rules, mapping documentation, and data governance standards across multiple sources and markets.
• Support stakeholder communication by providing regular updates on data quality, issue resolution, delivery readiness, and outstanding risks.
• Identify opportunities to improve data governance, streamline validation processes, and strengthen collaboration between business and technical teams.
• Recommend practical automation, reliability, performance, and maintainability improvements while respecting platform standards and business-validation ownership.

The role should coordinate and technically enable business validation, not replace the data owner. 

Must-have technical competencies

• Experience as a Project Manager, Business Analyst, Data Steward, or similar role, preferably in data-driven projects or large corporate environments.
• Strong understanding of data management, data quality, data validation, and data governance principles.
• Proven experience working with multiple business stakeholders, gathering requirements, managing expectations, coordinating activities, and driving issues to resolution.
• Ability to translate business requirements into data definitions, validation rules, mappings, and actionable tasks for technical teams.
• Strong analytical and problem-solving skills, including investigating data discrepancies, identifying root causes, and coordinating corrective actions.
• Experience coordinating cross-functional teams, including business users, Data Engineers, external data providers, and reporting teams.
• Excellent communication, stakeholder management, and organizational skills, with the ability to explain complex data issues to non-technical audiences.
• Ability to work independently, prioritize competing requests, maintain documentation, and ensure timely delivery of business-ready datasets.
• Good understanding of data pipelines, ETL processes, SQL, databases, and reporting tools is a plus

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

We are looking for a Middle AI/ML Engineer to develop and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will focus on building and iterating on machine learning and LLM-based solutions, integrating them into Foundry workflows to support analytics, automation, and decision-making. You will collaborate closely with data engineers, business analysts, and domain experts to deliver practical, production-ready AI solutions.

Responsibilities:

• Develop and enhance machine learning and AI models to support predictive analytics, classification, forecasting, and AI-assisted workflows.
• Build AI and ML solutions within Palantir Foundry, using Python and existing Foundry pipelines, Ontology objects, and workflows.
• Apply LLMs and NLP techniques (e.g. prompt engineering, fine-tuning, embeddings, retrieval-augmented workflows) using Palantir AIP for enterprise use cases.
• Collaborate with data engineers to understand data sources, ensure data quality, and prepare datasets for model training and inference.
• Conduct experiments, evaluate model performance, and iterate on features and model approaches.
• Integrate AI models into Foundry workflows to surface insights and support business processes.
• Support model deployment and monitoring by following established team standards and best practices.
• Work closely with business and domain stakeholders to translate requirements into practical AI-driven solutions.
• Document model behavior, assumptions, and limitations to support transparency and compliance.
• Stay up to date with applied AI and GenAI trends and contribute ideas under guidance from senior team members

Requirements:

• 3+ years of experience in machine learning, AI engineering, or applied data science.
• Strong Python skills; experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Hands-on experience with LLMs, NLP, or GenAI use cases (e.g. prompt design, embeddings, text classification, summarization).
• Practical understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and iteration.
• Experience working with structured data (tabular, time series); exposure to text or unstructured data is a plus.
• Familiarity with enterprise data environments and collaborative development workflows.
• Ability to clearly explain model results and AI behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to have: 

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About Keymakr
We take care of all aspects of Data Set Preparation, Annotation, and Labeling for video and images.
We adhere to a personalized approach, providing a tailored solution for each of our clients.
Our brilliant in-house R&D team personalizes the annotation tools for each client based on their needs, so we can successfully tackle even the most complicated requirements the client might have.
Use cases: Self-driving cars, Facial Recognition & Security, Medical Annotations, Drones, Robotics, and any industry you can think of.

We are seeking a Solution Engineer to develop technical solutions for data annotation projects, implement AI tools, and automate workflows.

In this role, you will work with Computer Vision and NLP/LLM technologies, helping to improve the efficiency, quality, and profitability of projects.

Key Responsibilities

1. Technical support for POCs: setting up tools and workflows, validating data and results, identifying and resolving technical issues during pilot project launches.
2. Research and implementation of AI tools: finding and testing data annotation platforms, setting up pre-annotation and model-assisted labeling, working with SAM and YOLO models, and evaluating their effectiveness.
3. Development of AI solutions and automation: creating scripts, bots, and small applications using Claude, ChatGPT, and similar AI tools; automating data processing, validation, and conversion; integrating services via API; supporting the Rocket.Chat bot. Technical project support: solving non-standard problems in 2D/3D Computer Vision, video annotation, and NLP/LLM, configuring platforms, and assisting project teams.
4. Testing and optimization: verifying solution functionality, finding errors, preparing bug reports and requirements for Keylabs improvements, and finding ways to reduce labeling time and costs.
5. Documentation and training: preparing technical instructions, developing a knowledge base, and training colleagues on new tools and processes.

What we expect

1. Understanding of data labeling processes for Computer Vision (2D/3D) and NLP/LLM.
2. Analytical thinking, initiative, and the ability to independently learn new technologies and tools.
3. Practical experience solving problems using Claude, ChatGPT, or similar AI services.
   Basic knowledge of Python and API principles.
4. Understanding of JSON, XML, CSV, COCO, and YOLO data formats.
5. Understanding of pre-annotation and model-assisted labeling principles.
6. Software testing skills, error detection, and result validation.
7. Experience with data annotation platforms such as Keylabs, CVAT, Labelbox, SuperAnnotate, or similar solutions.
8. Ability to structure information, create technical documentation, and clearly describe technical issues.

Important: Commercial development experience and the ability to write code from scratch are not required. Logical thinking, confidence in using AI tools, the ability to independently understand technical problems, and bring solutions to a working state are key.

Experience with fine-tuning models is an advantage.

1. Proficiency in Docker.
2. Experience with LiDAR and point clouds.
3. Prompt engineering and LLM response validation skills.
4. English proficiency sufficient for reading technical documentation and communicating with international clients.

Working Conditions

1. Salary: UAH 30,000 gross.
2. Fully remote work.
3. Flexible schedule.
4. Opportunity to work with modern AI tools and participate in the development of technical solutions for real-world projects.
5. Opportunity for professional development in AI, Computer Vision, NLP/LLM, and process automation.

We look forward to welcoming you to our team!

Project Description:

Join our Development Centre in Bucharest and become a member of our open-minded, progressive and professional team. In this role you will be working for one of our world-famous clients.

The Chief Security Office (CSO) of our client comprises the Chief Information Security Office (CISO) and the Corporate Security unit. The CISO organization guarantees information security for our client.

The role resides inside the Cyber Hygiene Engineering team within CSO. The team is responsible for developing and maintaining security solutions that improve the organization's security posture through automation, cloud security, vulnerability management, and application security.

We are looking for a Python-focused AI and data science engineer to help design, build, and improve practical AI automation workflows. This role is suited for someone who can combine strong software engineering discipline with applied machine learning, data analysis, and LLM-based tooling.

On top of attractive salary and benefits package, Luxoft will invest into your professional training, and allow you to grow your professional career.

Responsibilities:

• 4-5 years+ of experience

• Design, build, and maintain Python-based AI workflows, evaluation harnesses, and automation tools.

• Work with LLMs, AI agents, prompt pipelines, embeddings, and retrieval-augmented generation.

• Analyze structured and unstructured data to support automation, decision-making, and model evaluation.

• Create datasets, validation sets, benchmarks, and evaluation metrics for AI-assisted workflows.

• Integrate AI tools with existing business processes, internal data sources, and developer workflows.

• Improve reliability, observability, and repeatability of AI outputs.

• Document technical decisions, workflows, and assumptions clearly.

Mandatory Skills Description:

• Strong Python experience, including clean scripting, packaging, testing, and data processing.

• Practical experience using LLM APIs, AI agents, prompt engineering, or AI automation frameworks.

• Ability to design experiments, evaluate model outputs, and interpret results.

• Familiarity with notebooks, Git, virtual environments, and reproducible development workflows.

• Good software engineering habits, including tests, readable code, version control, documentation, and maintainability.

• Ability to turn ambiguous business or workflow problems into concrete technical prototypes.

Nice-to-Have Skills Description:

• Experience in a multinational environment would be a plus

ZentixSoft is looking for a Hands-on Technical Lead / Data Architect! 🚀

Format: Full-Time Outstaffing, 13-week engagement (First 3 weeks 100% on-site in Riyadh, followed by a hybrid schedule) with long-term extension options.

Location: Riyadh, Saudi Arabia (Open to candidates in KSA or willing to relocate).
 

🧩 Responsibilities:

• Architecture & Hands-On Engineering: Design HLD/LLD for Lakehouse architectures (raw, standardized, curated layers), Customer 360 target data models, and source-to-target mappings from Oracle Data Warehouses and Data Lakes while writing production SQL and Python code.
• GCP Infrastructure & Pipeline Ownership: Build and review pipelines using Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Cloud Run/GKE, Airflow, dbt).
• Identity Resolution & Quality: Implement deterministic/probabilistic matching rules, data quality frameworks, reconciliation, and lineage metadata.
• BI & Enterprise Integration: Build Power BI semantic models with Row-Level/Object-Level security, embed reporting into Dynamics 365, and set up AI-ready foundations (Vertex AI / BigQuery ML).
• Security & Compliance: Enforce security by design, encryption, audit logging, and KSA PDPL data residency standards.
   

🎓 Our Perfect Match (Requirements):

• Data Engineering & Architecture: 10+ years in Data Engineering/Architecture, with 3+ years of hands-on experience on Google Cloud Platform (GCP).
• Production Tooling: Proven production experience with BigQuery, Airflow, dbt, SQL, and Python.
• Domain Expertise: Strong background in Insurance or Banking data domains (policies, claims, customers, providers).
• Team Leadership: Experience leading technical teams of 6–8 engineers while maintaining hands-on contribution.
• On-Site Presence: Available for the first 3 weeks 100% on-site in Riyadh, transitioning to a hybrid setup afterwards.
   

➕ Nice to Have:

• Experience with restricted-data zones (e.g., medical data regulations).
• Hands-on knowledge of BigQuery ML, Gemini, or Vertex AI.
   

📍 Project Details:

⏳ Duration: 13 weeks + long-term extension.

📍 Location: Hybrid Riyadh (First 3 weeks full-time on-site).

Key responsibilities

• Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost.
• Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance.
• Lead by example through hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams.
• Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment.

Must have

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of IT experience, including 5+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms.
• 5+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs.
• Strong experience with enterprise security, governance, and compliance, and the ability to work effectively with enterprise architects and guiding or regulatory functions to ensure solutions meet organizational standards and control requirements.
• Enterprise AI enablement experience: designing solutions with Azure OpenAI and retrieval-augmented (RAG) patterns.
• BI/analytics architecture experience with Power BI or a similar enterprise BI technology.

Advantages

• Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns.
• Experience with Microsoft-first AI platforms and services such as Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns.
• Experience with Microsoft Fabric, Azure DevOps, GitHub Enterprise, and CI/CD for Data or AI solutions.
• Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault.
• Experience in life sciences, pharmaceuticals, or other regulated industries.
• Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture.

Key skills

• Hands-on technical leadership with a clear lead-by-example mindset.
• Strong architecture judgment across data, analytics, AI, integration, security, and non-functional requirements.
• Proven ability to own solution architecture end to end: shape target designs, validate them through prototyping or proof of concept where needed, guide delivery teams through implementation, and provide technical oversight through design reviews and production readiness checks.
• Ability to translate business problems into practical, delivery-ready technical solutions.
• Strong troubleshooting, decision-making, estimation, and risk management capability.
• Comfort working across distributed teams and external suppliers in enterprise delivery environments.
• Excellent communication skills in English, with the ability to drive alignment across architects, delivery teams, business stakeholders, and enterprise control functions.

We are looking for an experienced Quant Engineer to join our Trading Core and Risk Tech teams and take ownership of the mathematical models behind our trading and risk infrastructure. With billions in trading volume processed across our systems, accuracy, scalability, and model reliability are essential.

You will develop, backtest, and optimize the quantitative models powering our pricing engines, automated market-making strategies, risk management frameworks, including A/B/C-book optimization, and liquidation logic. Working closely with Core Product Managers and engineering teams, you will apply advanced mathematics, data analysis, and high-performance engineering to turn complex market data into scalable models and proprietary trading advantages.

Responsibilities

• Research, design, and prototype quantitative models for pricing, risk management, and market making
• Build and maintain robust backtesting frameworks to validate the performance and safety of models before production deployment
• Write clear, comprehensive mathematical and algorithmic specifications for Backend Engineers (Trading Core squads)
• Cross functional with the R&D and Trading Ops teams
• Conduct post-incident deep dives (e.g., after major market gaps or liquidations) to identify algorithm performance gaps and optimize them

Requirements

• 4+ years of experience as a Quant or Data Scientist
• Exceptional knowledge of probability theory, stochastic calculus, time-series analysis, and financial mathematics
• Advanced proficiency in Python (NumPy, Pandas, SciPy, SK-Learn, Statsmodels) for data analysis, modeling, and backtesting
• Experience with Machine Learning
• Deep understanding of market microstructure, order book dynamics, risk metrics (VaR, Expected Shortfall), and margin/liquidation mechanisms
• SQL skills and experience working with large-scale historical market data (tick data, order logs)
• Strong logical thinking, initiative, and well-developed communication skills

Will be a plus

• Experience in CFD, Crypto CEX, Prop Trading Firm, or Hedge Fund
• Degree (MSc or PhD preferred) in a highly quantitative field: Mathematics, Physics, Quantitative Finance, Statistics, or Computer Science
• Understanding of Asset pricing models (e.g., Black-Scholes, local volatility models, Greeks management)
• Knowledge of the MetaTrader platforms (MT4/MT5)
• Experience with AI (Claude.io, Copilot, Codex)

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)