Senior AI/ML Developer
2 weeks ago
Job Title: Machine Learning Engineer
About the Job:
We are looking for a skilled MACHINE LEARNING ENGINEER to join our team. As a Machine Learning Engineer, you will play a critical role in the development, automation, and deployment of Machine Learning (ML) and Generative AI (GenAI) pipelines across cloud environments.
Responsibilities:
- Deploy and maintain ML and GenAI models using AWS services, including SageMaker, Fargate, and Bedrock.
- Apply prompt engineering techniques to optimize GenAI 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 AWS infrastructure.
- Write Infrastructure-as-Code (IaC) using Terraform to automate cloud resource provisioning (nice to have).
- Participate in unit and end-to-end testing of ML pipelines, services, and monitoring workflows.
- Support model monitoring and health tracking using AWS CloudWatch and internal observability tools.
- Document internal systems and operational processes to ensure maintainability and reproducibility.
Requirements:
- 3-5 years Strong programming skills in Python, with experience in pandas, SQL, and ML frameworks (e.g., scikit-learn).
- Should have used Python in ML domain to build, train and maintain models.
- Familiarity with AWS services such as Lambda, Glue, CloudWatch, and Bedrock.
- Experience with container workflows (Docker) and model lifecycle management.
- Foundational knowledge of observability practices and model deployment fundamentals.
- Interest or experience in supporting AI systems used by developers or analysts.
- Strong communication and documentation skills with a collaborative team mindset.
- Ability to assume ownership of assignments and consistently meet deadlines.
What We Offer:
A dynamic work environment that fosters growth and collaboration.
Preferred Qualifications:
- Experience with Retrieval-Augmented Generation (RAG) applications.
Contact Information: Please submit your resume and cover letter to apply for this position.
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