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Senior Data Scientist / ML Engineer

Intellias

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Location:
Bulgaria;Colombia;Croatia;Poland;Portugal;Spain;Ukraine

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

We have a dream: to change industries through the power of digital technology. With a team of top-notch engineers by your side, you will develop groundbreaking solutions at Intellias. Let’s code the future together!

Job Responsibility:

  • Drive/Participate the ideation, development, and execution of POCs and AI related project
  • Develop and implement machine learning models, algorithms, and data-driven solutions to address complex business problems
  • Collaborate cross-functionally with engineering, product management, and other relevant teams to integrate data-driven functionalities into our products

Requirements:

  • Education: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related quantitative field
  • Experience: 5+ years of professional experience in machine learning engineering, AI development, or a closely related role
  • Machine Learning & Statistics: Solid understanding of classical ML algorithms (e.g., tree-based models, SVMs, clustering, ensemble methods), feature engineering, model evaluation metrics, and statistical methods (hypothesis testing, regression analysis, probability distributions)
  • LLM Expertise: Demonstrated project experience with large language models, including prompt engineering and prompt management strategies, LLM application development (end-to-end), fine-tuning of large language models, retrieval-augmented generation (RAG) pipeline design and implementation, practical experience with vector stores such as ChromaDB, pgvector, and PostgreSQL
  • AI Agents: Hands-on experience building AI agents and multi-agent systems using frameworks such as LangChain, LangGraph, CrewAI, or similar orchestration frameworks
  • Programming: Proficiency in Python with a strong emphasis on writing clean, maintainable, production-quality code. Familiarity with software engineering best practices (testing, code review, documentation)
  • Cloud: Practical experience with Google Cloud Platform (GCP) services for ML workloads (e.g., Vertex AI, Cloud Run, GCS, BigQuery, Compute Engine)
  • DevOps & MLOps: Docker: Proficiency in containerization — building, managing, and deploying Docker images and containers. GitLab: Proficient GitLab skills for version control, merge request workflows, and repository management
  • API Development: Experience with FastAPI, including request validation, async handling, and integration with ML model serving
  • Soft Skills: Excellent communication skills, Strong work ethic and high personal accountability, Ownership mentality — takes full responsibility for deliverables and outcomes, Proactive, self-starting approach to identifying problems and driving project success without waiting for direction

Additional Information:

Job Posted:
May 14, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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