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Kolomolo career site
IT · Multiple locations · Fully Remote

Mid-Level AI/ML Engineer (Data Scientist Background)

We offer a dynamic, collaborative, friendly and growth-oriented work environment. We strive to make you reach your goals fast! Opportunities for quick career advancement and vigorous learning.

We usually respond within a day

🚀 AI/ML Engineer (Data Scientist Background)

 Location: Poland, Bulgaria, Romania, Serbia, Albania, Macedonia, Montenegro (Remote)
 Contract: B2B, Full-Time



Join the Future of Digital Tech with Kolomolo

At Kolomolo, we don’t just follow trends - we set them. As a global supplier of IT services and digital modernization solutions, we help businesses embrace cutting-edge technology to optimize their operations. Now, we are growing and looking for fresh talent to grow with us.

Are you proactive, tech-savvy, and eager to build your career in IT? This role could be your perfect fit.


About the Role

We are seeking 2 highly motivated AI/ML Engineers to join our team preferably starting from 1st September 2025. These positions require Data Scientist background with expertise in AI/ML system design and deployment. You will work on building advanced AI-driven solutions, designing modular retrieval-augmented generation (RAG) architectures, and implementing intelligent agentic systems. The ideal candidate will have a strong foundation in mathematics, statistics, and machine learning, with hands-on experience in both research and production-grade AI engineering.

 What You’ll Be Doing

  • Build and maintain knowledge graphs using graph databases like Neo4j, leveraging Cypher or Gremlin for queries.
  • Process large-scale structured and unstructured data into graph databases using ETL pipelines.
  • Develop and implement graph-based AI systems to convert natural language queries into graph structures and vice versa.
  • Design and deploy modular RAG systems with the use of MCP and intelligent agents.
  • Apply agentic design patterns to enable autonomous task execution in AI systems.
  • Implement context engineering and prompt engineering techniques to optimize AI performance.
  • Collaborate with cross-functional teams to integrate AI models into scalable microservices.
  • Learn and apply AWS Bedrock and SageMaker for training, fine-tuning, and deploying machine learning models.
  • Work on small-scale optimization models for predictive analytics and operational efficiency.

     What We Are Looking For

  • Strong background in mathematics, statistics, and graph theory (degree centrality, eigenvalues, eigenvectors, Dijkstra's algorithm, etc.).
  • Proven expertise in AI/ML engineering, including vectorization, embeddings, multi-modal AI, and retrieval-augmented generation (RAG).
  • Hands-on experience with graph databases (e.g., Neo4j, PG Vector, Milvus) and traversal/query languages (Cypher, Gremlin).
  • Knowledge of agentic systems and agentic design patterns.
  • Experience in building modular RAG systems with MCP and agents.
  • Strong Python skills with libraries like Polars, Scikit-Learn, Pandas, and Numpy.
  • Familiarity with regressive optimization techniques such as Logistic Regression, Bayesian Optimization, and ARIMA.
  • Experience with anomaly detection and covariate shift detection techniques.
  • Understanding of FastAPI and microservice architecture.
  • Experience with Docker for containerized deployments.
  • Solid data engineering skills, including large pipeline processing, multiprocessing, and multithreading.


    • Nice to Have

    - Experience with vector databases such as Pinecone, ChromaDB, or Milvus.

    - Knowledge of out-of-distribution analysis and semantic similarity techniques.

    - Experience with multi-modal AI systems.


    What is in It for You

  •  Competitive salary and benefits.
  •  Career development opportunities in a growing tech company.
  •  Continuous learning culture: mentorship, internal training, and certifications.
  •  Flexible, agile work environment (remote, hybrid, or on-site in Kraków.
  •  Office perks: great coffee, tea, fresh fruit, snacks, and a fun atmosphere.
  •  Flat management structure, where your voice matters.
  •  Regular team events and a social, supportive work culture.
  •  B2B contract or Contract of Mandate (Umowa Zlecenie).


    🌟 Why Join Kolomolo?

    At Kolomolo, we prioritize innovation, agility, and autonomy. Our teams have the freedom to own their work, share ideas, and make meaningful contributions. Inspired by Scandinavian values, we believe in work-life harmony and creating an inclusive culture where everyone thrives.

    You will be part of a passionate, skilled, and friendly team that works hard and celebrates together. Here, you can build your career on your own terms, with opportunities to grow, learn, and make a real impact.

    Our Flat Structure & The Culture of Inclusion 

    At Kolomolo, we break the corporate mold. We offer:

    • Agile Teams & Autonomy: No micromanagement. You’ll own your projects and enjoy the freedom to innovate.
    • Work-Life Harmony: Inspired by Scandinavian values, we prioritize balance and flexibility, where remote work and asynchronous collaboration are in our DNA.
    • Learning & Growth: Continuous learning is at our core. We reward hard work, value smart ideas, and foster an environment of mutual respect and trust.
    • Inclusive Culture: We believe in DEI: diversity, equity and inclusion. We are committed to creating an environment where every individual, regardless of background, identity, or experience feels valued, respected, and empowered to thrive.

    Join Kolomolo and elevate your career with cutting-edge technology, a supportive team, and a company that truly values your input.

    Ready for the next step? Apply now and start an exciting journey of growth and innovation with us!



    Department
    IT
    Locations
    Bulgaria, Europe, Romania, Timișoara, Serbia, Wroclaw, Warsaw, Czech Republic
    Remote status
    Fully Remote
    Employment type
    Full-time

    About Kolomolo

    To be leaders in digital modernization by helping companies embrace latest cutting edge technologies to optimize their business with the help of our talented experts.

    Founded in 2016
    Co-workers 75
    Turnover 5M
    IT · Multiple locations · Fully Remote

    Mid-Level AI/ML Engineer (Data Scientist Background)

    We offer a dynamic, collaborative, friendly and growth-oriented work environment. We strive to make you reach your goals fast! Opportunities for quick career advancement and vigorous learning.

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    @kolomololabs.com