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Senior Machine Learning Engineer
3 weeks ago
Role Summary:
We are seeking a seasoned Machine Learning Engineer to lead our ML Ops team.
- Key Responsibilities:
- Design, deploy, and maintain scalable machine learning pipelines across cloud environments.
- Apply prompt engineering techniques to enhance model performance and reliability.
- Familiarity with Retrieval-Augmented Generation (RAG) applications is advantageous.
- Develop and maintain internal model-serving platforms for development teams.
- Implement containerized services using Docker and deploy them to cloud infrastructure.
- Write Infrastructure-as-Code (IaC) using Terraform to automate resource provisioning.
- Contribute to unit and end-to-end testing of machine learning pipelines and monitoring workflows.
Requirements:
- 3-5 years of experience in strong programming skills in Python, pandas, SQL, and machine learning frameworks (e.g., scikit-learn).
- Knowledge of cloud services such as Lambda, Glue, CloudWatch, and Bedrock.
- Experience with container workflows (Docker) and model lifecycle management.
- Foundational understanding of observability practices and model deployment fundamentals.
- Excellent communication and documentation skills with a collaborative mindset.