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About the role
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.
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