Senior ML Engineer (LLM, AWS)

#llm #remote

Senior ML Engineer (LLM, AWS)

Salary is up to 6500 usd gross (for now the workload will be 60%, since April – full-time)

REMOTE, b2b contract, location of the candidate and legal entity, bank account of the candidate – outside of Russia, Belarus and Turkey

Показать контакты

Atidot is a fast-growing InsurTech startup revolutionizing the life insurance industry with cutting-edge AI and ML solutions. We empower insurers to become truly data-driven, delivering actionable insights that shape strategic decisions at the highest corporate levels. We're looking for a talented and versatile Machine Learning Engineer to join our team. You will be in charge of end-to-end development, and will have a great impact on the product and the technical decisions made.

Requirements:
Profile:
• Proven ability to lead feature development, from concept to production.
• Bs.c / Ms.c in Computer Science / Software Engineering or a related field.
• B2 English
ML:
• 5+ years of hands-on experience in developing and deploying end-to-end Python-based data and ML pipelines.
• Good understanding of ML, and in particular of: feature selection methods, boosting-based classifier methods, ensembling methods, XAI methods.
• Extensive hands-on experience with scikit-learn, mlflow (or a similar framework), pandas, numpy, optuna (or a similar framework), xgboost, SHAP.
• Advantage: Hands-on experience with engineering and modeling large temporal tabular data.
LLMs:
• 1+ year of hands-on development experience with agentic pipelines based on Langchain or a similar framework.
• 1+ year of hands-on development experience with RAG systems.
• Theoretical understanding of transformers and LLM architectures.
• Advantage: Experience with LLM evaluation.
Tools:
• Comfortable with using and controlling LLM-based development tools (e.g., Claude Code, Cursor, etc.).
• Experience with the AWS cloud environment.
• Experience with Python IDEs (e.g., Pycharm, VSCode, etc.).
• Advantage: Experience with SQL databases.

• 3+ years of work experience with Amazon Web Services (AWS)