Senior Machine Learning Engineer - Hybrid
Core
Operationalize analytics solutions and deploy machine learning models to generate business value for the insurance division.
Role type
Senior Machine Learning Engineer (MLOps/LLMOps)
Builds
Scalable ML pipelines, production models, and Generative AI applications (RAG, fine-tuned LLMs)
Domain
Insurance / Financial Services
Deliverable
production ML models
Required skills
MLOps/LLMOps, model deployment, infrastructure management, LLM fine-tuning, prompt engineering, RAG, distributed processing, hybrid ML systems, computer vision, statistical modeling
Preferred skills
Azure AI Studio, cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), big data frameworks (Spark/Hadoop)
Technologies
Python, TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, BERT, GPT-series, T5, LLaMA, OpenCV, Tesseract, PostgreSQL, MySQL, Oracle, MongoDB, Cassandra, Elasticsearch, Redis, Apache Spark, Hadoop, Databricks, EMR
Responsibilities
Design and implement MLOps/LLMOps platforms; optimize ML models for performance; deploy models to production; manage data science infrastructure; develop Generative AI technologies; integrate models into existing systems; mentor peers on MLOps best practices
Seniority
Senior, hands-on IC
