Jobs

ML Engineer / MLOps Engineer

Location: Remote
Duration: Long-term
 

Основні обов'язки:

• Керувати повним циклом розгортання, підтримки та моніторингу ML/DL-моделей у production.
• Проєктувати та впроваджувати системи керування датасетами та лейблами, включаючи versioning та інтеграцію customer feedback.
• Розвивати Model Registry з підтримкою версіонування, model lineage та локального inference.
• Впроваджувати рішення для Experiment Tracking та Monitoring (ML та Generative AI), включаючи оцінку моделей, виявлення data drift та забезпечення відтворюваності експериментів.
• Розвивати системи model serving та inference: autoscaling, A/B testing, canary deployments, оптимізація latency та вартості.
• Забезпечувати інфраструктуру для Generative AI (prompt management, tagging tools, LLM testing).
• Покращувати DevOps-процеси, автоматизувати ML workflows та впроваджувати reusable компоненти (CI/CD, data loaders, automated retraining).
• Тісно співпрацювати з Data Scientists та командою Data Platform Engineering для впровадження ML-рішень у production.
   

Основні вимоги:

• Вища освіта у сфері Computer Science, Software Engineering або суміжній галузі.
• Практичний досвід роботи як ML Engineer та MLOps Engineer.
• Глибоке розуміння ML/DL workflows та MLOps best practices.
• Досвід побудови та підтримки CI/CD процесів.
• Комерційний досвід роботи з AWS, Azure або GCP.
• Впевнене володіння Python та Java.
• Досвід роботи з PostgreSQL, MongoDB, Redis.
• Практичний досвід з MLflow, Langfuse, SageMaker або аналогічними інструментами.
• Досвід роботи зі Spark.
• Досвід використання PyTorch або TensorFlow.
   

Важливо:  мати комерційний досвід одночасно як ML Engineer, так і MLOps Engineer.

Interview Process:
1. HR with Recruiter (~30 min)

2. GenAI Avatar Screening  (~30 min)

3. Intro call with the client (~30 min)
4. Technical interview (~2 hours)
5. Second technical interview (1–1.5 hours)
6. Final HR interview with client (~30 min)

We are looking for a Technical Project Manager who is a genuine bridge between our software and hardware teams — not just a coordinator, but someone who understands both worlds well enough to add value in each direction. You will translate field test results into engineering tasks, help the Lead Architect research and validate solutions, and champion AI tooling across the team.
 

What We Offer

• A central role in mission-critical autonomous systems development for national defense.
• Direct collaboration with top-tier CV, embedded, and robotics engineers.
• Significant influence on technical direction and team culture.
• Freedom to explore and introduce AI tooling across the team's workflows.
• Competitive compensation aligned with expertise.
• Temporary exemption from military service for the duration of work on defense-critical projects.

Requirements

     Technical Background — Required

• 4+ years in software engineering; (CV/ML, technical lead, or architect role)
• Solid understanding of CV pipelines: detection, tracking, SLAM/visual odometry — enough to evaluate accuracy and latency trade-offs from field results.

• Python proficiency; C++ reading-level minimum.

   

  Will be a Plus

• Hands-on experience with ONNX, TensorRT, or quantization workflows.
• Experience with deep learning frameworks (PyTorch or TensorFlow) and model optimization workflows.
• Working knowledge of ROS — nodes, topics, services, inter-module communication.
• Familiarity with edge platforms (NVIDIA Jetson or similar) and real-time constraints.
• Familiarity with autopilot ecosystems (ArduPilot, Betaflight) — enough to read architecture docs and contribute to technical decisions.
• Sensor fusion experience (Camera + IMU + GPS).

Project & Communication Skills

• Proven ability to manage complex technical projects across multi-disciplinary teams.
• Able to take polygon/field test results and convert them into clear, prioritized engineering tasks.
• Comfortable working directly with a Lead Architect — receiving high-level requirements, researching solutions, presenting structured proposals.
• Proficient with Jira and Confluence — task tracking, sprint management, structured documentation.
• Strong written and verbal communication; comfortable leading design reviews and justifying trade-offs.

AI Tools & Mindset

• Active daily user of AI tools (Claude, Cursor, Copilot, or similar).
• Genuine drive to become an internal AI champion — introduce tools, identify new use cases, raise the bar for the whole team.

Responsibilities

• Own end-to-end delivery across multiple workstreams (autonomous drone, turret control, and future platforms): planning, tracking, risk management, reporting.
• Primary technical liaison between software (CV/ML, ROS) and hardware/embedded teams — translating requirements, surfacing blockers, resolving misalignments.
• Attend polygon and field tests; translate results — including HIL/SIL outcomes — into structured engineering feedback and task descriptions.
• Work with the Lead Architect to research new approaches; prepare structured proposals for architectural decisions.
• Coordinate module integration (optical guidance, servo control, ROS layers) — interfaces, latency requirements, milestones.
• Maintain project documentation: requirements, test reports, decision logs, vendor deliverable tracking.
• Introduce and evangelize AI tooling across engineering workflows.

Nice to Have

• Hands-on experience with autonomous drones, FPV, or UAS platforms.
• ArduPilot or Betaflight ecosystem experience.
• MLOps or model deployment pipeline experience.
• Experience managing vendor/partner relationships — RFP processes, deliverable tracking.
• Systems thinker — holds the full picture while diving into details when needed.
• High ownership; comfortable with ambiguity and fast-moving field environments.
• Surfaces problems early with proposed solutions, not just issues.
   

About QOVES
QOVES is a technology company pioneering facial aesthetics, helping consumers make smarter beauty decisions. Every day, people make important decisions about their appearance based on guesswork or generic advice. We help them decide with clarity instead. Our platform gives customers a clear, science-backed understanding of their face, paired with bespoke advice on how they can look better. Our work reaches millions: more than 2.5 million people follow QOVES across platforms and most importantly, our customers are delighted, with 4.8 stars across 600+ reviews; we believe this reflects the care and sensitivity with which we approach everyone who comes to us for guidance. We're a profitable, growing company headquartered in London, with a team across the globe. What guides us is simple: people deserve more than one-size-fits-all advice when it comes to their appearance. Every decision we make (from the science behind our models to the way we communicate results) is grounded in evidence, responsibility, and a broad, inclusive understanding of beauty.

About the Role
You will join the backend team building the computer vision and machine learning systems that power QOVES's facial analysis platform. The non-negotiable is proven production experience: at least 3 years building scalable software in Python, with hands-on work shipping AI or ML features, including computer vision or LLM-based systems, into a live codebase. You will work closely with the AI Research team to translate research prototypes into production-ready code, own delivery end to end across analysis, design, coding, testing, deployment, and support, and optimise applications for performance and scalability as usage grows. You will also work with the wider team to spot problems early and resolve them before they become blockers.

What We're Looking For
• 3+ years of professional experience in production-level scalable software development with Python
• Strong proficiency with Python for building production-grade APIs
• Hands-on experience integrating AI or ML features, including computer vision or LLM-based systems
• Solid grasp of software architecture principles and API design, with the ability to contribute meaningfully to architectural decisions
• Experience owning work across the full software development lifecycle
• Strong sense of code quality, testing discipline, and engineering best practices
• Excellent communication skills, with the ability to articulate trade-offs and design decisions clearly
• A collaborative, proactive mindset with strong problem-solving skills

Nice to Have
• Knowledge of MLOps practices and experience with Data Version Control (DVC) or similar tools
• Knowledge of data pipelines, including designing production-grade GPU inference pipelines for high-throughput workloads
• Exposure to frontend or full-stack development
• Experience working in a startup or fast-paced product environment
• Experience building data pipelines or working with large-scale data processing

Why Join
• Build the computer vision and machine learning systems behind a product used by millions
• Fully remote with real autonomy and direct collaboration with the AI Research team
• A profitable, growing company with a global team

Compensation and Logistics
• Remote, full-time, open to applicants worldwide
• Compensation competitive, based on experience

Location: Remote (US/EU time-zone overlap required) 

Type: Full-time 

Reports to: Board of Directors

The role: 

UEX.US is a cryptocurrency exchange shipping Trading Pro, a savings/rewards product, and a payments stack. We move fast, and we ship. What we don't yet have is one person who owns the answer to: Is this product actually good, is it actually competitive, and does it actually do what we told users it does?

That's this job. You are the user's advocate inside the building and the quality gate for the devs.

This is an AI-first role: We are not hiring a product manager who occasionally uses ChatGPT. We are hiring someone who has rebuilt their entire working method around AI and produces the output of a four-person product team. If that isn't already how you work, this role will be uncomfortable, and you should not apply.

What you'll own:

- User feedback as a system. Discord, support tickets, app-store reviews, churn conversations — pulled in continuously, tagged, quantified by AI pipelines you build and maintain, turned into a ranked list nobody has to argue about. Anecdote becomes evidence, weekly, without a research team.

- Competitive intelligence, continuously. Binance, Kraken, Bybit, Coinbase, MEXC, Gate. Fees, spreads, listings, UX flows, onboarding friction, what they ship weekly. Automated monitoring and AI-generated teardowns — you should know what our competitors changed this week before they announce it.

- Test everything we already have. Every existing feature, hands-on, repeatedly — deposits, withdrawals, order types, KYC, rewards accrual, mobile. AI-assisted test scripts and regression checks where they help; your own hands where they don't. You find the breakage before users do.

- Promise integrity. Every claim on the site, in the app, in the ToS and in support macros must match what the product actually does. Where it doesn't, you flag it and drive it to zero. This is a regulated money services business — a UI label that overstates what a feature does is not a copy problem; it's an exposure.

- Priority discipline. You set the roadmap with the board, then you make it real: specs the devs can build from, acceptance criteria, sprint follow-through, and honest weekly status. Shipped-and-verified, not shipped.

- Metrics. Define them, instrument them, report them. Activation, retention, volume per active trader, support-ticket rate per feature.

## AI requirements — the hard bar

This section carries the most weight in our evaluation. You must be able to demonstrate, live, in the interview:

- Daily production use of frontier models (Claude, GPT, Gemini) as your primary working environment — not as a novelty, as the place your work happens.

- Prompt engineering at a professional level: structured prompts, XML/JSON output contracts, few-shot examples, chain-of-thought, evaluating and iterating on prompt quality rather than accepting first output.

- Building repeatable AI workflows, not one-off chats. Projects, custom instructions, saved prompt libraries, reusable analysis templates that a teammate could run.

- AI over large unstructured datasets: feeding thousands of support tickets, Discord messages and reviews into a pipeline that returns a defensible, quantified priority list — and knowing how to check that it didn't hallucinate the numbers.

- Agentic and tool-using AI: Claude Code, Cowork, MCP connectors, browser agents, or equivalent. Comfortable letting an agent run a multi-step task and reviewing its work.

- API-level literacy. You can call a model API directly, batch a job, chain calls, and estimate what a workflow costs before you run it. Light scripting (Python or JS) to glue things together.

- AI-assisted data work: natural-language querying over product data, generating SQL and validating it, building dashboards without waiting on an engineer.

- AI for spec and QA production: drafting PRDs, acceptance criteria, edge-case enumeration, test matrices, and user-facing copy — then editing hard, because the first draft is never the shipped one.

- Judgment about where AI fails. Hallucination, false confidence, stale knowledge, silent arithmetic errors. You verify anything that touches money, compliance language, or a user-facing promise. AI output that reaches a customer is your responsibility, not the model's.

- Discretion. You understand what customer data, KYC material, and internal financials may and may not be pasted into a third-party tool.

In the interview, you will screen-share your actual setup and run a real task in front of us: take a raw dump of feedback and produce a ranked, evidence-backed priority list, live. We are evaluating your workflow, not your vocabulary.

Who you are:

- 3+ years in product, ideally consumer fintech, trading, or crypto. Exchange experience is a strong plus.

- You've traded. You understand orderbooks, spreads, slippage, fee tiers, custody, and on-chain settlement well enough to argue with a trader and be right.

- SQL or equivalent; comfortable in analytics tools without waiting on an engineer.

- Obsessive about detail and unbothered about saying "this isn't ready."

- Written English strong enough to write specs and user-facing copy.

Nice to have: experience with a licensed/regulated platform, market-maker or API-trader relationships, design sense, Russian/Ukrainian or Spanish.

How we work:

Small team, no bureaucracy, decisions in hours, not weeks. You report directly to the board and work day-to-day alongside the engineers. AI tooling and API budget are provided — we expect them to be used.

Compensation is $2,500–$4,500/month during the 3-month remote test period, increasing to $6,000/month after relocating to Madrid.

Numerical Technologies LTD is a provider of custom software solutions and services specializing in risk, limits, and regulatory capital. We are currently looking for a Senior C#/.Net Developer to join our team. 

Project: Portfolio management systems for a US financial institution, focused on application migration to a new platform. 

What you will be doing:  

As part of the team, you will be participating in a client project focused on portfolio management solutions. You will help develop new software features, as well as support and maintain existing ones. You will be writing scalable and fault-tolerant code, debugging programs, and integrating applications with third-party web services. You will collaborate closely with the client and product manager to understand the system’s functional and non-functional requirements, and contribute to code quality through unit testing, integration testing, code reviews, and system design, helping deliver robust software aligned with the client's business needs.

What we are looking for:  

• 5+ years of commercial C#/.NET development experience.
• Deep understanding of object-oriented programming and software design principles.
• Strong experience developing desktop applications using WPF.
• Proficiency in SQL databases.
• Strong problem-solving skills and ability to collaborate effectively in a team environment.
• Upper-Intermediate level of English or above.

What will be a plus:

• Experience with the Infragistics library.
• Experience with other WPF UI libraries (e.g. DevExpress).
• Experience working with Java and Oracle.

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. 

Ajax Systems, an international tech company and the largest manufacturer of security systems in Europe.

We are looking for a new team member to join our System devisions as a Senior Java Developer.

The System Division is responsible for building and developing the Ajax software ecosystem. The team develops and maintains OS Malevich and the Video Management System, builds scalable cloud infrastructure, and creates client applications for multiple platforms, ensuring that all system components work together as a unified ecosystem.

The division works with Java, Kotlin, Swift, C, C++, and Python. It includes embedded, cloud, mobile, and desktop engineers who ensure the stable operation of Ajax as a single digital platform.

Responsibilities:

Core Development:

• Design and implement core backend services and data pipelines
• Write clean, readable, and maintainable code
• Develop services for the b2b product line

Architecture & Documentation:

• Actively participate in developing and improving architecture
• Document architectural decisions and operational knowledge for successful deployment and service operations

Quality Assurance:

• Ensure appropriate test coverage with unit and integration testing
• Focus on performance and cost efficiency for areas of responsibility
• Follow best practices in software design and development and promote them within the team

Operations & Monitoring:

• Ensure reliable alerting, dashboards, and runbooks for production services
• Debug production issues, analyze complex cases, and conduct investigations

Collaboration & Culture:

• Work smoothly in a technical culture with testing, CD, and DevOps

• Collaborate within the team and with other engineering teams to develop new features and products according to business needs

   

Requirements:

• Java: 3+ years of professional backend development in enterprise environment
• Kotlin: Knowledge and practical work experience
• Java Concurrency: Strong understanding and practical application experience
• Understanding of SOA, microservice, and event-driven architecture
• Cloud development principles with practical AWS experience

• Ability to scale and ensure high availability of loaded systems

   

Required:

• Any NoSQL database
• Any message broker
• Enterprise-grade stack (messaging brokers, in-memory storages, NoSQL, key-value databases)
• Docker and Kubernetes (containerized applications)

• Git, Gradle, Jenkins

   

Nice to Have:

• Redis, Netty, Akka, gRPC, Project Reactor, NATS, Kafka. MongoDB

• Strong knowledge of unit testing and automated test paradigms

   

We offer:

• The opportunity to suggest and implement your own ideas that directly influence the product and its mass production
• A place in a fast-growing company with a motivated and professional team
• Competitive salary
• Medical insurance
• English classes
• The opportunity to participate in Ajax’s internal beta-testing program for security systems
• Discounts from partner companies

• Discounts on Ajax products

   

Ajax Systems is a Ukrainian success story that has grown into a global product. Ajax devices are trusted by more than 4.5 million end users and 330,000 PRO users in over 180 countries. The company provides comprehensive solutions to protect residential and commercial properties of all sizes. Today, Ajax portfolio includes 280 devices for intrusion protection, video surveillance, fire safety, and comfort and automation.

Responsibilities

• Create data models and related data pipelines in Azure DataBricks and Data Factory for analytical dashboards, integrating multiple data assets
• Support the architectural decisions, and participate in the elaboration of new implementation proposals for our customers, e.g. providing high level estimations and helping establish the right assumptions
• Drive, lead and coach other BE engineers to implement data pipelines following the best practices and influencing the customer requirements
• Strive to understand the problems to solve and proactively make suggestions on the best way to addressed them (performance, data volume, data discrepancies or mismatches, operational costs, etc.)
• Understanding, having had the experience of working with sales and consumer good analytics the most important metrics and aggregations to provide and the challenges they often have
• Working with and supporting several analytical teams (frontend developers, product owners, QAs, solution architect)

Requirements

• 3+ years of relevant development experience and practice with data management, data storage, data modeling, data analytics, data migration, and database design
• Expert hands-on experience with Databricks
• Expert-level knowledge of SQL
• Experienced with Azure Data Factory
• Production coding experience with Python
• Delta Lake or other similar technology
• Upper-Intermediate level of English, both spoken and written (B2+)

We offer/Benefits

With us you can:

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
• Participate in volunteer, charity programs and communities (both technical and interest-based)

We focus on your professional growth:

• You can plan your individual career path together with your manager
• Receive regular feedback from colleagues
• Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
• Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
• Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
• Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
• Study at EPAM Solution Architecture School with the instructors who are practicing architects
• Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
• Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)

What we offer:

• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program - a free programming language training program for EPAMers' children

Kindly be advised that the set of benefits, including learning, certification, and other opportunities, may vary depending on the role you apply for. Our recruiter will be able to share more details about the specific opportunity during your general interview.

ABOUT EPAM

EPAM strives to provide its global team of over 62,350 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.

Наш партнер — інноваційна технологічна компанія/ Наша мета полягає в тому, щоб сприяти технологічному розвитку, створюючи передові та інноваційні продукти, які відповідають потребам наших клієнтів.

Компанія пишається своєю корпоративною культурою, яка підтримує інновації та співпрацю, ми створюємо умови для того, щоб наші співробітники могли розвиватися професійно і досягати нових висот у своїй кар’єрі.

Зараз компанія в пошуку досвідченого C++/ArduPilot Engineer.

Responsibilities:

• Design, develop, and maintain C++ applications and services that interact with embedded systems, specifically using Ardupilot/PX4 or other similar platforms.

• Collaborate with hardware engineers to integrate C++ based software with embedded systems and sensors, enabling seamless data exchange and device control.

• Identify, troubleshoot, and resolve software and hardware integration issues, ensuring high-quality, reliable, and performant solutions.

• Utilize Python for up to 20% of development, mainly for scripting, testing, and automation tasks.
 

Required Qualifications:

• 4+ years of experience in development with a focus on embedded systems, device programming, or hardware interfacing.

• Proven experience with Ardupilot/PX4 or similar platforms (e.g., Betaflight, iNav).

• Solid understanding of embedded systems, microcontrollers, and hardware-software interaction.

• Strong expertise in C++, with experience in performance optimization,

multithreading, and I/O operations in resource-constrained environments.

• Experience with Python for development, including scripting, testing, and automation, as well as its use in embedded systems.

• Experience with serial communication protocols (e.g., UART, SPI, I2C).

• Experience in Linux/Unix environments and tools (e.g., Git, SSH, command-line utilities).
 

Will be a plus:

• Experience with single board PCs (e.g., Raspberry Pi, Arduino, etc.).

• Knowledge of cloud technologies or IoT platforms (e.g., MQTT, AWS IoT, Google Cloud IoT).

• Soldering and engineering skills.

• Experience with 3D printing.

We are seeking an AI Engineer to join our software, system and test engineering group.

You will assist in designing and developing agentic and multi-agent systems at scale using the LangChain and LangGraph frameworks, with a focus on scalable, production-grade applications. Join us to build your skills in Python, AWS and data science while contributing to advanced AI solutions for our clients.

This position is open to candidates based in Ukraine.

Support the design of agentic AI systems and multi-agent systems at scale

• Assist in developing production-grade AI applications with LangChain and LangGraph frameworks
• Contribute to implementing retrieval-augmented generation (RAG) evaluation methods
• Build and maintain vector databases for AI data storage and retrieval
• Apply data science techniques to improve AI system performance
• Collaborate with cross-functional teams to integrate AI solutions
• Develop scalable and efficient AI system architectures
• Troubleshoot and resolve system issues and bottlenecks
• Acquire knowledge about AI and machine learning advancements
• Document system designs and development processes
• Participate in code reviews and follow best practices
• Optimize cloud infrastructure with AWS services
• Deploy and monitor AI applications

Skils:

• Interest in designing and developing agentic AI systems and multi-agent systems
• Programming skills in Python with 2+ years of experience
• Familiarity with LangChain and graph frameworks such as LangGraph
• Understanding of the Amazon Web Services (AWS) cloud platform
• Background in data science or data engineering methodologies
• Knowledge of algorithms, data structures and machine learning techniques
• Familiarity with RAG evaluation and vector databases
• Willingness to contribute to scalable and production-grade AI solutions
• Problem-solving and analytical skills
• Experience or coursework in software, system or test engineering environments
• Collaboration and communication skills
• B2+ level English proficiency

With us you can:

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
• Participate in volunteer, charity programs and communities (both technical and interest-based)
   

We focus on your professional growth:

• You can plan your individual career path together with your manager
• Receive regular feedback from colleagues
• Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
• Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
• Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
• Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
• Study at EPAM Solution Architecture School with the instructors who are practicing architects
• Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
• Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
   

What we offer:

• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program - a free programming language training program for EPAMers' children

Kindly be advised that the set of benefits, including learning, certification, and other opportunities, may vary depending on the role you apply for. Our recruiter will be able to share more details about the specific opportunity during your general interview.

About the Role
We are seeking an AI & Data Science Consultant to drive the discovery, strategy, and end-to-end delivery of advanced AI initiatives for EPAM’s global clients. This role is a unique hybrid, blending strategic business consulting with deep practical engineering. You will collaborate directly with client executives and EPAM’s delivery teams to transform complex business challenges into scalable, production-ready AI, Machine Learning, and Agentic solutions.
 

Key Responsibilities

• Consult & Strategize: Lead client-facing discovery sessions and workshops to identify high-value AI opportunities, define MVP scopes, and map out strategic delivery roadmaps.
• Design & Architect: Shape scalable AI products incorporating Generative AI, RAG, multi-agent frameworks, semantic layers, and advanced analytics.
• Bridge the Collaboration: Serve as the central link connecting business stakeholders, data scientists, ML engineers, DevOps, and product teams.
• Drive Delivery & MLOps: Apply a strong engineering mindset to ensure solutions are secure, production-ready, and smoothly integrated into cloud infrastructures.
• Support Business Growth: Partner on pre-sales activities, solution estimation, and proposal development while contributing to EPAM’s internal AI and MLOps offerings.
   

Requirements

• Professional Experience: 3+ years of hands-on experience in Data Science, ML, or Applied AI, with a proven track record of bringing models from concept to production.
• Consulting & Communication: Strong active listening, presentation, and storytelling skills; ability to confidently translate complex AI concepts for C-level stakeholders.
• AI & Agentic Tech Stack: Experience with RAG, LLM applications, multi-agent orchestration, and tools like LangChain, LangGraph, CrewAI, LlamaIndex, or Vector DBs.
• Data & Architecture: Understanding of Semantic Layers, metadata, knowledge graphs, and data platforms (such as Databricks or Snowflake).
• Engineering & MLOps: Familiarity with the production model lifecycle, MLOps/LLMOps pipelines, and cloud platform integrations.
   

Nice to Have

• Experience mentoring cross-functional AI teams or driving enterprise-scale GenAI adoption.
• Practical knowledge of cloud infrastructure and DevOps tooling.
• Insights into AI governance and ethical AI frameworks.

We are looking for an experienced data engineer with design and

development experience in automating scalable and high-performance data processing systems (batch and/or streaming) on the cloud (AWS preferably).

What You’ll Do

● Design our data models for optimal storage and retrieval on the cloud and to meet critical product and business requirements

● Build scalable and highly-performant distributed data processing systems as we migrate to the cloud

● Work closely with our business stakeholders to flesh out and deliver on requirements in an agile manner

● Set and evolve data standards and best practices

● Contribute to the data architecture and align it with the business and technology

● Adhere to and enforce software development best practices on the cloud in areas including but not limited to CI/CD, code reviews, automated testing, operational excellence, data quality, etc.

What You Should Have

● 4+ years of programming experience in Java/Scala/Python

● 2+ years experience using an enterprise cloud-based solution

● 2+ years implementing data processing pipelines on the cloud (batch and/or streaming)

● Advanced understanding of SQL, relational, and NoSQL databases required

● Experience with various data access patterns, streaming technology, data quality, data modeling, data performance, and cost optimization

Our customer is a leader in global prestige retail, teaching and inspiring clients to play in a world of beauty. The company has earned its reputation all over the world as a beauty trailblazer with its expertise, innovation, and entrepreneurial spirit. Our project is about developing a full-stack e-Commerce application for the world's biggest cosmetics retailer chain of stores.

PROJECT TECHNOLOGIES AND TOOLS

SQL, HIVE

Hadoop

Kafka

Spark

Spark Streaming

Cloud (Azure)

Scala or Python

RESPONSIBILITIES

Investigation and requirements clarification

Solution architecture design from scratch

PoC development

Full project delivery

Interactions with the customer development team and 3-rd party vendor

REQUIREMENTS

5+ years of experience in Java/Scala or Python

Experience with HIVE

Strong communication skills

Intermediate or higher English level, both spoken and written (B1+)

NICE TO HAVE

Databricks

Avro

Spark

Apache Hadoop

WE OFFER

Competitive compensation depending on experience and skills

Individual career path in engineering

Social package - medical insurance, sports

Compensation for sick lists and regular vacations

English classes with certified English teachers

Flexible work hours

We are looking for a Senior / Lead Data Analytics and Visualization Engineer passionate about data to extend our team of professionals. In this role, you will work with clients from various business domains – Finance, Telecom, Media, Insurance, Oil&Gas, Pharma and others.

The remote option applies only to the Candidates who will be working from any location in Ukraine.

Responsibilities

• Build advanced-level dashboards and reports
• Design and build data models, conduct data preparation and profiling
• Perform detailed analysis of business problems and technical environments
• Manage security and administrate the reporting environment
• Participate in architecture and testing processes to ensure they meet best practice specifications
• Participate in architecture and testing processes to ensure they meet best practice specifications

Requirements

• 5+ years of practical experience with one of the reporting tools – Power BI (preferable)
• Proficiency in Data Analytics and Data Visualization concepts
• Skills in developing reports and dashboards
• Advanced SQL knowledge and background in relational databases such as MS SQL Server, Oracle, MySQL, and PostgreSQL
• Understanding of landing, staging area, data cleansing, data profiling, data security and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart)
• Familiarity with Cloud technologies (AWS, Azure, GCP, Snowflake)
• Expertise in data products testing
• Ability to work in an agile development environment (SCRUM, Kanban)
• Understanding of CI/CD principles and best practices
• English level – Upper-Intermediate and higher

We offer

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Consider relocation options in over 30 countries worldwide
• Participate in volunteer, charity programs and communities (both technical and interest-based)
• You can plan your individual career path together with your manager
• Receive regular feedback from colleagues
• Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
• Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
• Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
• Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
• Study at EPAM Solution Architecture School with the instructors who are practicing architects
• Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
• Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program - a free programming language training program for EPAMers' children

EPAM strives to provide its global team of over 52,800+ professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.

We are seeking a skilled Big Data Engineer to become an essential part of this forward-looking and dynamic team.

In this role, you will leverage advanced cloud technologies to deliver impactful solutions.
 

If you excel at tackling complex challenges, creating robust cloud-based solutions, and driving meaningful business outcomes, this opportunity offers the chance to join a fast-paced, collaborative environment where your work shapes global success.

The remote option applies only to the Candidates who will be working from any location in Ukraine.

Responsibilities

• Build scalable, cloud-based systems in Azure using tools like Azure Data Factory, Azure Data Lake Storage, and Databricks to enhance seamless, high-performance data pipelines
• Migrate on-premises MS SQL databases to Azure Data Lake, utilizing the Delta Lake format to optimize operational performance
• Develop interfaces that connect non-Microsoft proprietary applications, enabling interoperability and unlocking valuable data insights
• Provide expertise in Data Lakes, Data Warehouses (DWH), and Delta Lakehouse architectures to guide transformative business solutions
• Assess new feature proposals, prioritize them based on business value, and collaborate to make impactful product development decisions
   

Requirements

• Expertise in Azure Data Services, including Data Factory, Data Lake Storage, and Databricks
• Strong SQL skills with experience in Python, Scala, or C# (versatility is highly valued)
• Background in working with Agile or XP methodologies, thriving in fast-moving, adaptive environments
• Good English communication skills (Upper-Intermediate/B2+ or higher) to engage effectively with diverse teams and stakeholders
   

Nice to have

• Proficiency in advanced Azure tools such as Synapse Analytics, Cosmos DB, or Apache Synapse
• Flexibility to use Core Python or Scala for automation and advanced data processing
   

We offer

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Consider relocation options in over 30 countries worldwide
• Participate in volunteer, charity programs and communities (both technical and interest-based)
• You can plan your individual career path together with your manager
• Receive regular feedback from colleagues
• Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
• Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
• Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
• Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
• Study at EPAM Solution Architecture School with the instructors who are practicing architects
• Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
• Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program - a free programming language training program for EPAMers' children
   

EPAM strives to provide its global team of over 52,800+ professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.

Chief Operating Officer (COO)
 

About Us

We are an international iGaming company operating globally since 2020. Our portfolio includes several successful Sportsbook and Casino brands. Over the past year, we have doubled our business scale and were recognized as the Best Sportsbook Operator at the SiGMA Awards.

As we continue our rapid growth, we are looking for an experienced Chief Operating Officer (COO) to lead operational excellence, drive business performance, and support the company's strategic expansion.
 

Responsibilities

• Lead and oversee all operational aspects of the business.
• Develop and execute operational strategies aligned with company goals.
• Optimize business processes to improve efficiency, scalability, and profitability.
• Manage and coordinate cross-functional teams across key business units.
• Define operational KPIs and ensure their successful achievement.
• Analyze business performance and make data-driven decisions.
• Identify growth opportunities and support market expansion initiatives.
• Monitor industry trends and adapt operational strategies accordingly.
• Manage operational risks and ensure business continuity.
• Build and maintain strategic relationships with partners and stakeholders.
• Represent the company at industry events, conferences, and business meetings.
   

Requirements

• 5+ years of experience in the iGaming industry.
• 2+ years of experience in a senior leadership role such as COO, Head of Operations, Head of Casino, Head of Sportsbook, Head of Regions, or equivalent.
• Proven track record of launching and scaling products in new markets while achieving business KPIs.
• Strong understanding of online casino and sportsbook operations.
• Hands-on experience across multiple business functions within an iGaming organization.
• Experience designing, implementing, and optimizing operational processes.
• Strong understanding of affiliate marketing and partnership management.
• Data-driven approach with the ability to analyze performance and optimize business strategies.
   

Skills

• Strong leadership and people management skills.
• Excellent communication and stakeholder management abilities.
• Strategic thinking combined with hands-on execution.
• Strong problem-solving and decision-making capabilities.
• Ability to operate effectively in a fast-paced environment.
• English level B2+ or higher.
• Additional languages will be considered an advantage.
   

What We Offer

• Fully remote work environment.
• Flexible working hours.
• Competitive salary package.
• Dynamic and international team.
• Fast decision-making processes and minimal bureaucracy.
• 20 paid vacation days annually.
• 5 paid sick leave days.
• Public holidays according to company policy.
• Opportunity to play a key role in the growth of a rapidly scaling iGaming business.
   

Recruitment Process

Stage 1: Interview with Recruiter
Stage 2: Interview with Hiring Manager
Stage 3: Offer