Machine Learning Engineer - Middle/Senior
September 5
Description
• Join a team dedicated to building cutting-edge technology solutions. • Specializes in AI and ML technologies, cloud services, and data engineering. • Provided with opportunities for development and growth.
Requirements
• Comfortable with standard ML algorithms and underlying math. • Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems • AWS Bedrock experience strongly preferred • Practical experience with solving classification and regression tasks in general, feature engineering. • Practical experience with ML models in production. • Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. • Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts). • Python expertise, Docker. • English level - strong Intermediate. • Excellent communication and problem-solving skills. • Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda). • Practical experience with deep learning models. • Experience with taxonomies or ontologies. • Practical experience with machine learning pipelines to orchestrate complicated workflows. • Practical experience with Spark/Dask, Great Expectations.
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