Jobs Data & Analytics

As a Machine Learning Engineer, you'll work as part of the Wix CTO Office team, researching problems that can give Wix’s products a competitive edge across various challenges. A key focus of the team is on Agents over LLMs, exploring new techniques for building agents and developing innovative products that leverage them.  

In your day-to-day, you will:  

• Build POCs for research projects led by the team  
• Evaluate results and provide actionable insights  
• Collaborate with different teams at Wix to advance their agent implementations  

• Build shared infrastructure for agents  

   

Requirements

• 5+ years building and maintaining production-grade systems at scale
• Proficient in TypeScript; Java and/or Python is a significant advantage
• Hands-on experience building GenAI systems with LLMs and agents
• Deep expertise in at least 2 of: Agentic Orchestration & Tool-Calling, Advanced RAG, Automated Evaluation & Testing
• BSc in Computer Science or related field; MSc preferred
• Excellent communication skills in English; collaborative and comfortable with ambitious, high-risk problems

About the Team  

We are Wix's Data Science CTO Office team, a small group of researchers and engineers. We collaborate with various groups at Wix and the CEO on innovative research projects. Some projects aim to enhance Wix products with new features, while others focus on strategic research areas that can provide Wix with a competitive advantage.

We are looking for a Junior Business Analyst (Data analyst) with strong analytical capabilities and hands-on BI expertise. The ideal candidate is comfortable working independently, fluent in SQL, and able to bridge business while driving data-driven decisions.

Key Responsibilities

• Own reporting and analytics for lending products.
   
• Perform deep, business-oriented data analysis to support strategic and operational decision-making.
   
• Design, build, and maintain BI reports and dashboards (Power BI).
   
• Perform reconciliation analysis across systems (loan data, balances, payments, statuses, etc.).
   
• Translate business requirements into analytical queries and data models.
   
• Validate data consistency across multiple sources (e.g., Salesforce, internal systems).
   
• Identify trends, risks, and performance drivers within loan portfolios.
   
• Support product and operations teams with ad-hoc analytical requests.
   
• Ensure data accuracy and reporting reliability.

Required Skills

• 1+ years of experience as a Business Analyst and Data Analyst in financial services and lending.
   
• Strong business-focused data analysis skills with the ability to interpret data in a business context.

• Understanding of the loan lifecycle, underwriting, servicing, and collections processes.
   
• Advanced SQL skills (complex joins, aggregations, window functions, performance optimization).
   
•  Experience with BI tools (Power BI required).
   
• Experience building end-to-end dashboards and performance reports.
   
• Experience in reconciliation processes involving financial data (loan balances, payments, etc.).
   
• Ability to work independently with minimal supervision.
   
• Strong communication skills.
   

Nice to Have

• Experience with Snowflake.
   
• Basic understanding of Machine Learning concepts (risk scoring, segmentation, forecasting).

Profile Expectations

• Analytical thinking and business acumen.
   
• Detail-oriented with a strong focus on data accuracy.
   
• Comfortable operating in a fast-paced lending environment.
   
• Able to balance strategic analysis with operational reporting.
   
• Proactive in identifying insights and resolving data issues.

Five years ago, this job needed a team of four: an analytics engineer, a BI developer, a data analyst, and a stats specialist. Today, with the right platform and the right AI tooling, one sharp person can do all of it — faster. We've built the platform. We need that person.

Bright Gaming is an online casino founded in 2023 by iGaming veterans. Growing fast, fully remote, lean by design — no legacy debt, no committees.

The role

You'll own our analytics platform end-to-end and use it to drive better decisions across marketing, product and CRM. Two hats:

• 🔧 Builder — Extend our SQL-first warehouse, cohort/revenue/player-value models, BI layer and AI tooling. New questions arrive every week; you build the answers.

• 🎯 Operator — Sit close to marketing, product and CRM. Find where the levers are, pull them, then check whether they moved. You'll be measured on whether those teams ship better decisions because of you.

   

Reports to founder.

What you'll own

• KPI reporting for leadership and department heads
• Marketing analytics: ROAS, acquisition cost, Fraud traffic
• Product & CRM analytics: funnel, A/B tests, segmentation, lifecycle, churn, bonus ROI
• Player analytics: cohort retention, LTV, VIP and churn signals
• Reconciliation against payment, game-provider and partner reports

• Extending the data layer as new business questions arrive

   

Who you are

A technical analyst who thinks like a commercial operator. As comfortable refactoring a 300-line SQL query as sitting in a marketing standup arguing about creative spend. You don't wait to be asked questions — you go find them. And you've figured out that AI tooling is a force multiplier, not a threat.

Must-have:

• 3+ years as a Data Analyst, Analytics Engineer or Product Analyst in iGaming
• Advanced SQL on PostgreSQL — window functions, CTEs, query optimisation. 
• Python for analysis, automation and third-party APIs (pandas, requests).
• BI tooling (PowerBI, Metabase, Looker or similar)
• Git — branches, PRs, code review. Everything lives in version control here.
• Fluent with AI tooling. You use Claude / ChatGPT / Copilot every day, prompt them well, and know when not to trust the output.
• Strong grasp of iGaming metrics: GGR/NGR, FTD, LTV, ROAS, retention cohorts, churn
• Commercial instinct — you can brief a non-technical exec without jargon

• B2 English or higher

   

Strong plus:

• Statistical fundamentals 
• dbt or similar transformation framework
• REST API integration experience
• Experience embedded with marketing or CRM teams (not just serving tickets)

What we offer

• Fully remote, flexible hours, performance bonuses
• Real ownership — you'll be the data person, not the seventh analyst
• Modern stack, zero legacy, no 15-year-old reports
• Direct line to leadership
• The chance to prove the full-stack, AI-augmented analyst is the future of data teams

The Senior ML Engineer will spearhead the end-to-end development, deployment, and stewardship of machine-learning solutions that power credit-risk, collections-strategy, conversion-optimisation, and fraud-detection processes in MD Finance. Working hand-in-hand with Risk, Product, Operational, and other teams, the role will translate business goals into robust models, ensure their ongoing performance, and identify new AI/ML opportunities that raise the company’s bottom line.

Professional qualifications
 

• 7+ years’ experience in Machine Learning / Data Science, with 3+ years in credit-lending organisations and/or banks.
• Demonstrated delivery and production of Probability-of-Default (PD)
  models, credit-limit strategies, fraud-detection, conversion-uplift, and collections-optimisation models.
• Advanced Python proficiency and solid grasp of modern ML algorithms, feature
  engineering, and model-evaluation best practices.
• Ability to write, structure, and optimise complex SQL queries.
• Deep understanding of the credit lifecycle, especially online lending workflows.
• Proven skill in sourcing, cleansing, and generating features from data sets.
• Comfortable setting up and maintaining modelling environments (local, cloud, or
  on-prem).
• Detail-oriented, accountable, and committed to both team and individual targets.
• English: Intermediate (B1) or higher.
   

Preferred / bonus qualifications

• Practical experience with LLM solutions:
• Using commercial APIs (e.g., OpenAI, Anthropic, etc.).
• Self-hosting of open-source models
• Fine-tuning of open-source models.
• Building voice chatbots.
• Building RAG chatbots.
• Experience with Computer Vision models for document or image processing.
• Building ML pipelines and deploying models to production.
• Creating executive dashboards and model reports in Power BI.

Main responsibilities

• Design, train, and deploy probability of default models.
• Build credit-limit strategies.
• Discover and scope AI/ML opportunities that boost efficiency and revenue of the company, including collections optimisation, fraud control, conversion lift, etc.
• Analyse data sources and engineer features for modelling.
• Produce and update internal model documentation.
• Implement model monitoring.
• Plan and execute A/B tests.
• Build Computer Vision pipelines to automate lending workflows.
• Develop LLM-based solutions that streamline internal processes or enhance customer experience.

Expected results

• Implemented probability of default models and credit-limit strategies.
• Launched A/B tests for models that potentially can boost the efficiency and/or revenue of the company.
• Thorough, audit-ready documentation for models.

What We Offer

• Join a fast-scaling FinTech company where your decisions shape the business and your contributions truly matter.
• Enjoy 20 paid days off annually, flexible scheduling, and a supportive, people-first culture.
   
• Learning, sports, and medical insurance compensation.
• Work in an international, agile team with ambitious goals, modern tools, and a strong sense of purpose.

We are looking for AI-driven Software Engineer to join our long-term project.

Responsibilities:

• Design practical, scalable software architectures
• Translate business requirements into clear technical solutions
• Define data models, APIs, integrations, and system structures
• Contribute across the full lifecycle — from idea to production

You’ll be part of a small, fast-moving team where ownership and initiative are highly valued.
 

Who you are

• You take ownership and enjoy responsibility
• You communicate clearly with both technical and non-technical stakeholders
• You’re comfortable in a fast-paced, evolving environment

You also:

• Think in systems and trade-offs, not rigid rules
• Take a hands-on, proactive approach
• Balance structure with pragmatism
• Stay curious and keep up with new technologies
• See AI as a practical tool, not just a trend
   

Requirements:

You don’t need to master everything, but you’re familiar with or interested in:

• APIs and system integrations
• Modern architectures (React, React Native, TypeScript, Next.js, Supabase)
• AI-assisted development tools (e.g., Cursor, Claude Code)
• Automation tools (e.g., n8n)
• No-/low-code platforms (e.g., Bubble.io — a plus)
  
  Location Belgium must have!
   

👉 What matters most: understanding core principles, not just tools.

About the Role

We are looking for a highly experienced Staff Engineer to build and own a next-generation production intelligence platform at the intersection of AI, infrastructure, and data systems.

This role goes beyond traditional backend or data engineering — it focuses on designing a knowledge graph layer that enables AI systems to understand and reason about complex production environments in real time.

You will be one of the first engineers in this domain area, with full ownership of architecture and key technical decisions.

What You Will Do

• Design and own a production knowledge graph architecture (schema, entities, relationships, temporal modeling)
• Build data ingestion pipelines from multiple sources (CI/CD, infrastructure, cloud systems, streaming platforms)
• Define strategies for handling high-volume, high-cardinality production data
• Develop a semantic layer enabling intelligent querying and reasoning over the system
• Ensure data consistency, quality, and long-term coherence
• Work closely with engineering leadership on architecture and system design
• Validate solutions against real-world production environments

Requirements

• 10+ years of experience in backend or systems engineering
• Strong hands-on experience with graph databases (Neo4j preferred)
• Proven experience building scalable data ingestion pipelines
• Deep understanding of distributed systems and cloud-native infrastructure
• Experience with Kubernetes, CI/CD, and modern DevOps practices
• Strong data modeling skills (entities, relationships, versioning, schema design)
• Ability to make architectural decisions independently in a fast-paced environment

Nice to Have

• Experience with infrastructure graph tools (e.g., Cartography or similar)
• Experience working with AI/ML systems or LLM-based architectures
• Familiarity with event-driven systems (Kafka, streaming)
• Background in knowledge graphs or semantic systems

Tech Stack

Neo4j, Python, Kafka, Kubernetes, PostgreSQL, Graph-based tooling, cloud infrastructure

What Makes This Role Unique

This is not a typical backend or data role. You will be building the core knowledge layer that enables AI systems to reason about production environments.

You will:

• Own the architecture from day one
• Make high-impact technical decisions
• Work on a product that sits at the intersection of AI + infrastructure + data

Hiring Process

• 2–3 interview stages
• Technical + system design focus

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.

We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is looking for a Data Science / AI Engineer to help build an autonomous platform that turns product requirements into production-grade code.

The product leverages AI to automate development workflows and dramatically increase R&D productivity. Already in production with active customers, the team is now scaling both the technology and impact.

Key Requirements:
🔹 7+ Years Experience: Deep professional background in AI/Data Science;
🔹 Agent Expert: Proven experience building high-quality agentic systems—specifically dealing with planning, tool-calling, and self-correction loops;
🔹 Sophisticated Retrieval: Expertise in building retrieval systems that can deal with real, complex cases (not just basic vector search);
🔹 Technical Excellence: Expert-level Python. You must be able to contribute to a production-grade backend and bridge the gap between a model's output and a functional tool;
🔹 AI Native: Power user of Claude and Cursor;
🔹 Advantage: Hands-on experience with LLM Evaluation suites and moving agentic systems from "cool demo" to "production reliable.";
🔹 Production Focus: Experience delivering solutions that are robust, reliable, and maintainable in real-world, customer-facing environments;
🔹 Database Skills: Experience with indexing, vector databases, and data retrieval at scale;

What you will do:
🔹 Planning & Reasoning: Design and optimize multi-step planning systems that allow agents to decompose high-level requirements into executable, low-error technical strategies;
🔹 Agentic Retrieval: Architect retrieval systems (GraphRAG, hybrid search) that can handle real-world codebase complexity, ensuring agents retrieve the right context for the right task;
🔹 Evaluation & Evals: Build robust, automated evaluation frameworks to measure agent success and reliability. You'll define what "high-quality execution" looks like in a machine-readable way;
🔹 Performance Optimization: Use few-shot learning, prompt engineering, and targeted fine-tuning to make agentic workflows deterministic and reliable in production;
🔹 From Demo to Production: Move beyond "agent-in-a-box" prototypes. You are responsible for the stability and quality of agents performing end-to-end SDLC tasks;
🔹 Customer Impact: Work closely with product and engineering teams to understand customer needs, solve real-world problems, and deliver solutions that move the needle for customers;
🔹 End-to-End Ownership: Take responsibility for projects from research and prototyping through to production deployment and ongoing optimization;
🔹 Product Mindset: Bring a product-oriented approach, proposing improvements and new features that align with business goals and customer requirements;
🔹 Collaboration: Communicate effectively with cross-functional teams and, when needed, with customers to gather feedback and ensure solutions meet real-world needs;
🔹 Proactive Problem Solving: Identify and address bottlenecks or new opportunities in agentic workflows and retrieval systems;

Interview stages:
🔹 HR Interview;
🔹 Technical Discussion ;
🔹 Practical Session ;
🔹 Team Fit Conversation ;
🔹 Final Review;
🔹 Reference Check;
🔹 Offer;

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

We are looking for an ambitious and detail-oriented iGaming Research Analyst to deeply analyze gaming products and bring structure to a large volume of data across our own games and competitors. This is an operational-analytical role with a clear path toward strategic responsibilities and product analytics.

What You Will Do:
1) Research Our Games

• Extract ~50 parameters per game: interface, mechanics, RTP, volatility, gameplay features, multipliers, paylines, bet ranges, and more;
• Analyze games through UI, descriptions, visuals, and gameplay logic;

• Maintain a unified database, ensuring consistent comparison standards across all products.

   

2) Competitor & Market Analysis

• Identify top-performing games across specific countries and regulated markets;
• Extract the same ~50 parameters from competitor titles;
• Compare competitors’ games with our portfolio;

• Determine which of our games align best with market leaders — supporting product certification decisions;

   

3) Data Analytics & Structuring

• Manage organized sheets, summary tables, clusters, and filters;
• Create comparison matrices and analytical tables;

• Prepare concise findings and recommendations.

   

4) Growth & Development
 As you gain experience, you will participate in:

• Product discussions and decision-making;
• Improving research and analytics methodology;
• Identifying new parameters for deeper analysis;

• Recommending the best games for different markets.

   

Requirements:
Must-Have:

• Strong Excel / Google Sheets skills (formulas, pivots, filters, VLOOKUP/HLOOKUP/IMPORTRANGE);
• Analytical mindset and high attention to detail;
• Willingness to handle large volumes of operational research;
• Interest in gaming and motivation to grow in iGaming analytics;
• Basic English to understand game interfaces and terminology.

Nice-to-Have:

• Experience in iGaming (slots, crash, betting games);
• Understanding of mechanics: RTP, volatility, jackpots, bonuses, multipliers;
• Competitive analysis skills;
• Basic SQL (or readiness to learn);
• Experience with iGaming markets, providers, certifications.

Personal Qualities:
We need someone who:

• Meticulous, focused, yet energetic and proactive;
• Able to work independently without constant supervision;
• Improvement-oriented rather than task-following;
• Aspiring to grow into an Analyst, Product Specialist, or Market Research Lead;

• Passionate about games and curious about how they work under the hood.

   

We offer:

• Convenient work schedule (8/9/10/11 — 17/18/19/20);
• 21 working days of vacation;
• 10 working days of sick leave;
• Extra days off for birthday, wedding, etc and for public holidays;
• Payment for training;
• Financial and intangible gifts from the company;
• Free communication, the ability to influence processes and implement your ideas;
• Comfortable and easy management, no tyranny.

How We Hire:
We’re not here to make you jump through flaming hoops (unless that’s your hobby — in which case, we’ll cheer you on). Our goal is to see if we’re a good match for each other — and to make sure you enjoy the ride.
1. Pre-Screen Call — 30 min
A quick hello with one of our recruiters. We’ll talk about your background, your goals, and what you’re looking for. In return, we’ll tell you more about ABXplay, the role, the team, and answer any burning questions.
2. Hard Skills Interview — 45–60 min
You’ll meet your potential manager. We’ll dive into the real stuff — your future responsibilities, the challenges ahead, and the kind of work you’d actually be doing (no mystery here).
3. The Offer Stage

Lumitech is a Dubai-based software engineering company building complex digital products for enterprise clients across the UAE and Saudi Arabia.

We are expanding our AI capabilities and looking for a strong Applied AI Engineer who can design and build real production AI systems — not just integrate APIs. Our team already handles full-stack engineering. 

You will design and implement AI systems for enterprise products, including:

• Retrieval-Augmented Generation (RAG) platforms
• Enterprise knowledge assistants
• AI agents and workflow automation
• Document intelligence systems
• Internal copilots for large organizations

Typical projects include legal AI assistants, enterprise knowledge systems, and AI-driven automation tools.

This is not just an individual contributor role. We are looking for a person around whom we can build our AI direction — someone who can take ownership, shape architecture, and eventually grow and lead an AI team within Lumitech.

Our goal is to find a long-term partner, not just an employee — someone who will grow with us for years to come.

Our Client is the fast-paced digital healthcare company which creates the growing portfolio of online health communities for people with chronic conditions. Company’s mission is to improve patient’s quality of life by connecting them with each other, with caregivers and healthcare industry partners, building beneficial social interactions and meaningful health conversations. 

About project:
The core of the project is working with the data; the target is to re-design and enhance data-driven solutions. The team is responsible for expanding and optimizing the data flow and data pipeline architecture, model and analyze data, interpret trends or patterns in complex data sets and translate them into product and marketing insights. If you are excited by the prospect of optimizing or even re-designing our data architecture to support our next generation of products and data initiatives, we would be thrilled to have you apply!

Requirements:

● Good Python skills

● Good working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases

● A successful history of manipulating, processing and extracting value from large disconnected datasets

● Experience building and optimizing data pipelines, architectures and data sets

Technologies:

• Python
• AWS: SES, RDS (MySQL), EC2, Elasticsearch Service, Route 53, VPC, etc
• Snowflake
• Docker
• dbt
• Airflow

Job responsibilities:

● Manage and optimize core data infrastructure

● Build monitoring infrastructure to give visibility into the pipeline’s status

● Monitor all jobs for impact on cluster performance

● Run maintenance routines regularly

● Tune table schemas to minimize costs and maximize performance

● Build and maintaining custom ingestion pipelines

● Build non-SQL transformation pipelines

● Build processes supporting data transformation, data structures, metadata, dependency and workload management

LITSLINK is looking for a Senior Azure Data Engineer to join an enterprise client project. We are looking for a proactive engineer with strong experience in the Azure data ecosystem who can quickly take ownership of tasks and deliver high-quality solutions.

Responsibilities

• Migrate data processing logic from SQL Server stored procedures to Azure Databricks
• Build and maintain ETL/ELT pipelines using Azure Data Factory
• Replace and integrate new data sources in Power BI
• Optimize data models and reporting performance
• Work with large datasets and optimize SQL queries
• Collaborate with data, BI, and engineering teams
   

Requirements

• 7+ years of experience in Data Engineering
• Strong hands-on experience with the Azure data ecosystem
• Experience with:
  • Azure Data Factory
  • Azure Databricks
  • SQL
  • Power BI
• Experience building and optimizing data pipelines
• Experience migrating data workloads to cloud environments
• Python for data processing
• Proactive mindset and strong ownership of tasks
   

Engagement Details

• Full-time
• Remote
• 3-month contract (renewable)
• Start ASAP

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

Skills requirements:
• Strong Python Experience (1 year +);
• Experience with LLM , Diffusion models (1 year +);
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

Key responsibilities:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Domain: SaaS
Project: AI strategy product
Client: Germany
Location: Remote (attending events once a quarter across the EU)
Time Zone: CET
Contract: B2B
Budget: $6500 gross

About US

DevKit is more than just an IT company - we are a team of passionate professionals dedicated to creating cutting-edge solutions. Our employees work on exciting international startups, collaborating with highly skilled teams from around the world. With expertise in software development, design, and engineering, we help bring innovative ideas to life and drive success on a global scale!
Our mission is to connect exciting projects with top-tier professionals. We are committed to creating a dynamic space where innovation thrives, top talent excels, and global teams unite to develop cutting-edge solutions.
 

About PROJECT

The company is a trailblazing AI-powered SaaS platform, reshaping the landscape of procurement from a tactical function to a strategic business ally that orchestrates seamless value chains. The state-of-the-art solution empowers organizations to independently develop procurement strategies with a flexible framework adaptable to their specific needs and contexts.

Redefining traditional category management, the company’s all-encompassing solution takes it to new heights by harnessing the capabilities of AI, fostering extensive collaboration, and integrating data from diverse sources beyond conventional category taxonomy. At the product, they are driven by a purpose-centered ethos, dedicated to tackling ESG-related challenges, positioning procurement as a catalyst for positive change rather than merely a cost-cutting entity.

The multitude of prestigious awards and recognitions speaks to their leadership in the AI-driven procurement technology landscape, showcasing our unwavering commitment to innovation and excellence.

Main Tech Stack

AI/DS/ML related stack
 

Responsibilities
 

• AI/DS/ML initiatives organization-wide, overseeing the entire ML lifecycle from conception to execution.
• Drive continuous development of AI/ML functionalities for our SaaS product, prioritizing well-structured, secure, and scalable code, complemented by comprehensive documentation and rigorous testing protocols.
• Initiate the integration of pertinent research findings into our product, particularly in procurement, through experimentation and the creation of solutions like chatbots, forecasts, and decision support systems.
• Utilize your software engineering expertise and business acumen to foster the growth and maintenance of our ML services, guiding all stages of technology development.
• Establish and manage high-quality datasets, alongside developing data pipelines for procurement data processing.
• Collaborate closely with cross-functional teams of software engineers to enact transformative changes within procurement practices.
• Stay informed about the latest advancements in AI/ML technologies and industry best practices, actively contributing insights for continuous improvement.
• Cultivate a culture of learning, knowledge sharing, and team development within our Data Science team.

Requirements
 

• Have 5+ years of proven industry experience in applying Machine Learning and AI techniques.
• Demonstrate proficiency in Machine Learning principles and generative models, with an understanding of computational limitations and data privacy considerations.
• Showcase expertise in NLP, LLM (3+ years), including prompt engineering, training, fine-tuning, RAG, evaluation, transfer learning techniques, and anomaly detection.
• Possess knowledge of Data Analysis/Processing, Data Visualization, and Storage systems (e.g., Databases, Data Lakes, Data Warehouses).
• Advocate for best coding practices, thorough documentation, rigorous reviews, data integrity, security, and performance optimization, with expertise in the Python ecosystem and popular ML libraries/frameworks, including those tailored for LLM.
• Have experience in Infrastructure management (MLOps/LLMOps, AWS/GCP Clouds, SQL, REST APIs, GitHub), and overseeing end-to-end ML pipelines.
• Demonstrate proficient English communication skills, both verbal and written, with a focus on clarity, openness, and professionalism.

Would be a plus:
 

• Seize the opportunity to join the team and make meaningful contributions to our engineering excellence within an international team and context.
• Occasional business travel within Europe may be required, averaging once per quarter, alongside team-building company events.
• Join a pioneering AI-driven procurement technology startup, contributing to the creation of innovative solutions that significantly impact enterprise customers.

Work conditions

• A long-term role in a stable, fast-growing company
• Flexible working hours with a results-oriented approach
• Competitive salary and benefits package (vacation, sick leave, national holidays)
• Comfortable workspace, corporate events, and team-building
• Continuous learning, professional growth, and skill development

If you're looking for a place to grow, innovate, and make an impact, we'd love to have you on board!

We are looking for a Senior Data Engineer to join the Identity team at Equals5. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated—both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.
 

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.
   

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.
   

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.
• Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.
   

What We Offer

• Fully remote with flexible hours (aligned with EU timezones for syncs).
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech for both daily coding and product features.
• High-Impact Role: You will directly influence how we identify and score users, impacting the core business logic.
• Cross-functional visibility: Work closely with Product and Tech Leads to shape the future of Identity.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

Robomate develops RPA solutions, AI tools, and custom software for businesses that want to automate operations, reduce manual work, and improve process efficiency.

We are looking for a Business Analyst who can understand client business processes in depth, identify automation or software opportunities, and translate business needs into clear requirements for the delivery team.

This role is important for connecting client goals with technical implementation. You will work closely with stakeholders, developers, and solution architects to help shape solutions and move projects from discovery to delivery.

What you will do

• analyze client business processes and identify opportunities for automation or software development;
• run discovery sessions and stakeholder interviews;
• identify business problems and turn them into clear functional and non-functional requirements;
• prepare structured documentation for the engineering team;
• define workflows for RPA, AI, and custom software solutions;
• work with developers and solution architects to shape technical solutions;
• support project planning, prioritization, and scope clarification;
• stay involved during delivery to clarify requirements and validate implemented functionality;
• identify process inefficiencies and suggest practical automation approaches.

What we expect

• 2+ years of experience as a Business Analyst in IT or software development;
• strong skills in requirements gathering and stakeholder communication;
• experience writing structured documentation;
• experience with process modeling using BPMN and UML;
• strong analytical and problem-solving skills;
• ability to translate business needs into clear technical requirements;
• experience working with development teams in Agile / Scrum environments;
• solid English communication skills.

Nice to have

• experience in AI, automation, or digital transformation projects;
• understanding of system integrations, APIs, and data flows;
• experience in outsourcing or consulting companies;
• basic understanding of software architecture.

What you will get

• involvement in projects where business analysis directly affects the final solution;
• hands-on experience with RPA, AI automation, and custom software delivery;
• exposure to international clients and real business cases;
• room to grow into more complex solution analysis and cross-functional project work;
• a team where initiative, ownership, and clear thinking are valued.

What we offer

• transparent communication and decision-making;
• paid vacation, sick leave, and basic compensation package;
• compensation for professional courses and certifications;
• a young, energetic team with low bureaucracy and space for initiative;
• office in Podil.

Hiring process

• Intro call (15–20 min) - background, expectations, relevant experience;
• Soft / analytical interview - experience, thinking process, practical cases;
• Offer