Hybrid Machine Learning Engineer

Posted 3 weeks ago

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About the role

  • Machine Learning Engineer building AI-driven solutions for merchant segmentation and churn prediction. Collaborate with a team to drive complex models from concept to production.

Responsibilities

  • Develop, implement, and validate Machine Learning solutions, ensuring alignment with project objectives.
  • Design AI solution architectures that meet complex business goals and drive innovation.
  • Research, test, and select the best tools and technologies as well as AI solutions to meet business requirements.
  • Understand clients' and internal stakeholders' needs and translate business problems into data science problems.
  • Oversee the implementation of data pipelines and workflows using Airflow and dbt within Snowflake/BigQuery.
  • Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications.
  • Present findings and recommendations clearly and concisely to stakeholders.
  • Prioritize and control tasks within an Agile/Scrum framework, ensuring timely delivery.

Requirements

  • Proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM usage).
  • Proficiency in developing ML algorithms from scratch to production deployment.
  • Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow).
  • Proven expertise in deploying solutions in cloud environments (AWS - Fargate, EC2).
  • Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG).
  • Working experience in SQL and databases (Snowflake, BigQuery).
  • Good knowledge of CI/CD principles (GitLab, GitHub).
  • Familiarity with MLOps practices (MLflow) and containerization (Docker).
  • Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
  • Experience with Terraform is a nice to have.
  • High proficiency in English (C1 level).
  • Excellent communication skills and consulting experience with direct interaction with stakeholders.

Benefits

  • Full-time employment under a contract of employment.
  • Benefits: ability to develop one’s own package in MyBenefit system.
  • Possibility to work in a hybrid model.
  • Friendly work atmosphere in a cooperation-driven team, that will support you everyday.
  • Work in an international organization operating in a rapidly changing industry.
  • Work in an international environment where you work with foreign languages on an everyday basis.

Job title

Machine Learning Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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