Machine Learning/AI Engineer
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Job Description
Machine Learning Engineer developing scalable Python-based ML pipelines for a fast-growing InsurTech company. Leading development initiatives and collaborating with teams to enhance AI products.
Responsibilities:
- Lead the design, development, and deployment of end-to-end Python-based ML pipelines
- Build and optimize models for prediction, segmentation, explainability, and personalization
- Develop agentic pipelines and RAG systems using frameworks like LangChain or similar
- Apply MLflow, Optuna, XGBoost, and SHAP for experimentation, tuning, and explainability
- Collaborate closely with data scientists, software engineers, and product stakeholders
- Drive architectural and feature-level decisions with measurable product impact
Requirements:
- 3+ years of hands-on experience in developing and deploying ML pipelines in Python
- Proven ability to lead ML feature development from concept to production
- Strong understanding of ML methods: feature selection, boosting, ensembling, explainable AI (XAI)
- Experience with scikit-learn, pandas, numpy, xgboost, Optuna (or similar), MLflow, SHAP
- 1+ year of hands-on experience with LLM / GenAI systems: LangChain or similar frameworks, RAG pipelines
- Theoretical understanding of transformers and LLM architectures
- Experience with AWS cloud, Python IDEs (PyCharm, VSCode)
- Comfortable using LLM-based dev tools (Claude Code, Cursor, etc.)
Benefits:
- Competitive salary and benefits package
- Medical insurance
- Full Remote
- Collaborative and innovative work environment
- Career growth and development opportunities
- A chance to work with a talented and driven team of professionals
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