Advanced AI Systems Specialist

6 days ago

Udaipur, Rajasthan, India beBeeDeveloper Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Machine Learning Engineer

As a critical component of our AI system, you will be responsible for the development, automation, and deployment of Machine Learning (ML) pipelines across cloud environments. Your primary focus will be on building reproducible workflows, integrating observability tools, and ensuring efficient, scalable model delivery.

The position emphasizes hands-on experience with deploying and maintaining ML models using AWS services. You will apply prompt engineering techniques to optimize GenAI model performance and reliability. Experience with Retrieval-Augmented Generation (RAG) applications is a plus.

  • Deploy and maintain ML and GenAI models using AWS services.
  • Apply prompt engineering techniques to optimize GenAI model performance and reliability.
  • 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.
  • 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.

Key Responsibilities:

Developing, automating, and deploying ML pipelines

Maintaining ML and GenAI models

Optimizing GenAI model performance and reliability

Building and maintaining internal model-serving platforms

Implementing containerized services

Writing IaC using Terraform

Participating in unit and end-to-end testing

Monitoring and tracking model health

Documenting internal systems and operational processes

Requirements:

3-5 years of experience in Python programming

Strong programming skills in Python, with experience in pandas, SQL, and ML frameworks

Familiarity with AWS services, including 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

],

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