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AI & ML Engineer

  • Belgrade
  • Cluj-Napoca
  • Dnipro
  • Kharkiv
  • Krakow
  • Kyiv
  • Larnaca
  • Lodz
  • Lublin
  • Lviv
  • Odesa
  • Remote.Bulgaria
  • Remote.Georgia
  • Remote.Poland
  • Riga
  • Sofia
  • Tbilisi
  • Varna
  • Warsaw
  • Wroclaw
  • Yerevan
Hot vacancySmall team (1-10 people)

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Position overview

We are seeking a highly skilled AI & ML Engineer to join our innovative team. In this role, you will lead the development, optimization, and deployment of advanced machine learning and artificial intelligence models. You will drive state-of-the-art research, build scalable pipelines, and collaborate with cross-functional teams to translate business needs into effective ML solutions.

This position offers the opportunity to work on cutting-edge technologies in a dynamic, fast-paced environment, contributing to impactful projects that power next-generation AI applications.

Responsibilities

  • Design, implement, and optimize machine learning and AI models, including classification, regression, clustering, and agent tuning.
  • Experiment with the latest methods, frameworks, and architectures to enhance model performance and efficiency.
  • Develop robust, scalable ML pipelines for training, validation, and inference.
  • Deploy ML models into production environments (cloud or on-prem), ensuring high reliability, low latency, and scalability.
  • Apply MLOps best practices including CI/CD, monitoring, automated retraining, and model registry management.
  • Partner with data engineering teams to source, clean, and transform large datasets for model training and inference.
  • Ensure high data quality, perform feature engineering, and support real-time data integration processes.
  • Work closely with data scientists, software engineers, and product managers to align ML solutions with business goals.
  • Clearly communicate complex technical results to both technical and non-technical stakeholders.
  • Provide technical guidance and mentorship to junior ML engineers and data scientists.
  • Contribute to establishing team best practices, code reviews, and architectural decisions.

Requirements

  • 5+ years of professional experience in machine learning, AI engineering, or related fields.
  • Master’s degree in Computer Science, Machine Learning, Physics, or related field; PhD preferred.
  • Proficient in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Strong understanding of algorithms, statistics, probability, and linear algebra.
  • Hands-on experience with data pipelines and ETL tools (e.g., Spark, AWS Lambda, AWS Glue).
  • Practical experience with cloud platforms, preferably AWS.
  • Solid software engineering fundamentals including version control (Git), testing, and design patterns.
  • Demonstrated success in deploying ML models into production at scale.
  • Familiarity with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work autonomously and collaboratively within a fast-paced, cross-functional team environment.

Nice to have

  • Experience with agentic frameworks like LangChain or LangGraph

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We offer

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Vacation

As per the laws of your country. We do ask you to take a proper rest

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Health insurance

We help you to take out an insurance policy for you and your loved ones

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Sick pay

10 days without a doctor's note, afterwards - as per the laws of your country

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Time off for state holidays

According to the official calendar, regardless of the client’s schedule

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Pleasant environment

Two large corporate parties and many small get-togethers for colleagues

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Comfort service

Solving technical and everyday problems at work

The benefits package may vary depending on the region and the type of contract
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FAQ for Candidates

Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top-tier courses and learning platforms. View current openings and take the next step with us.

DataArt is a global software engineering company that helps businesses build powerful data, analytics, and AI solutions. We work with clients across a range of industries — including Finance, Healthcare & Life Sciences, Consumer Goods & Retail, Travel, Media & Entertainment, Mobility, and Manufacturing.

Learn more about what we do here.

DataArt supports flexible work formats to help you find the balance that works best for you. You can choose to work from the office, go hybrid, or stay fully remote—each option comes with equal opportunities for growth. We’ll help set you up with secure access and the equipment you need. With 46 remote and onsite official locations, you can join us from almost anywhere in the world.

Learn more about how we work here.

At DataArt, we put people first—fostering a culture built on trust, flexibility, and professional growth. We believe in open communication, mutual respect, and the freedom to choose how and where you work. Diversity, equity, and inclusion are core to our values, and we actively support a workplace where everyone can thrive. From mental health support to global sustainability efforts, we aim to create a healthy, empowering environment for all.

Read more about our culture and values.

There's no one-size-fits-all career path at DataArt—your growth is yours to shape. Whether you want to deepen your technical skills, move into management or sales, or even switch professions entirely, you'll have the support to do it. With exam fees fully covered, you can also earn professional certifications, like AWS, Azure, or Google Cloud. With tools like the Professional Development Map, the Talent Lab, and access to expert mentoring, we help you build your desired career.

Learn how we support both newcomers starting their careers and experienced professionals looking to grow further.

DataArt offers competitive compensation along with a range of thoughtful benefits that support your well-being, growth, and daily comfort. You’ll get flexible vacation and sick leave, mental health programs, and access to a corporate laptop or BYOD option. We also offer bonuses for referrals, parental leave, and smooth exit and return-to-work options.

Read more about how things work at DataArt.

At DataArt, we focus on creating an environment where people want to stay and grow. With 95% of employees recommending us to a friend on Glassdoor and a 100% CEO approval rating, we’re proud of the trust we’ve built. From mentoring programs and professional development services to support and conflict resolution programs, we invest in our colleagues' growth and wellbeing—because when people feel valued, they stick around.

Learn more about our company >here.

Our interview process is designed to be thorough, transparent, and supportive. It starts with a CV review, followed by an HR interview to discuss your background and goals. You'll then go through communication and technical assessments, where we evaluate your English skills and knowledge of relevant technologies. If all goes well, you’ll meet someone from the project team to learn more about the work, and we’ll guide you every step of the way—including helping you prep for any client interviews.

Read more and get tips for each stage here.

DataArt looks for candidates with strong technical skills, analytical thinking, and a commitment to continuous learning. We value experience in relevant technologies and industries, adaptability, and excellent communication skills. If you’re a junior or just starting out, don’t worry—our mentorship programs and training will support your growth from day one. The most important thing is your willingness to learn and develop professionally in our collaborative, people-first environment.

Read more about development in DataArt.

At DataArt, continuous learning is part of our culture. You’ll have access to expert mentors, leadership guidance, and thousands of courses from top platforms like Udemy and LinkedIn Learning. You can shape your own path—whether it’s growing within your role or switching to a new one.

Explore how we support your growth.