Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
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
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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