Lead Machine Learning Engineer
simeio
Job Description
- Lead development, optimization, and deployment of ML and GenAI models for real-time, streaming and batch use cases.
- Evaluation and picking LLM and embedding models for various use cases.
- Ingestion of structured and unstructured data sources, storing them to vector databases.
- Build and manage end-to-end agentic workflows for data retrieval, reasoning, and insight generation.
- Build and manage end-to-end MLOps pipelines with Sagemaker, Airflow, or similar platforms.
- Collaborate with engineers, data scientists, and stakeholders to gather requirements, ideate, and integrate AI solutions.
- Enhance model accuracy and performance through data quality improvements and analysis.
- Deploy scalable, cloud-native ML workloads on AWS using Docker, Kubernetes.
- Mentor junior engineers on ML best practices.
- Evaluate and integrate third-party tools, libraries, and products.
- Develop and manage robust CI/CD pipelines. Provide technical leadership and stay current with ML advancements.