
Senior AI/ML Engineer
3 days ago
The role of AI/ML Engineer is critical in the development, automation, and deployment of Artificial Intelligence (AI) and Machine Learning (ML) pipelines across cloud environments. This hands-on position emphasizes building reproducible workflows, integrating observability tools, and enabling efficient, scalable model delivery.
Key Responsibilities:
- Develop and maintain AI and ML models using cloud services, including SageMaker, Fargate, and Bedrock.
- Apply prompt engineering techniques to optimize model performance and reliability.
- Experience with Retrieval-Augmented Generation (RAG) applications is a plus.
- Assist in building and maintaining internal model-serving platforms to support development teams.
- Implement containerized services using Docker and deploy them to cloud infrastructure.
- Write Infrastructure-as-Code (IaC) using Terraform to automate resource provisioning.
- Participate in unit and end-to-end testing of AI and ML pipelines, services, and monitoring workflows.
Requirements:
- 3-5 years Strong programming skills in Python, with experience in pandas, SQL, and ML frameworks.
- Familiarity with cloud services such as AWS Lambda, Glue, CloudWatch, and Bedrock.
- Experience with container workflows (Docker) and model lifecycle management.
- Foundational knowledge of observability practices and model deployment fundamentals.
- Strong communication and documentation skills with a collaborative team mindset.
- Ability to assume ownership of assignments and consistently meet deadlines.
Benefits include a dynamic work environment, opportunities for growth and development, and a competitive compensation package.
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