Machine Learning / AI Engineer IIT/NIT - Bangalore

Machine Learning / AI Engineer - Only IIT / NIT Pass out required

We are looking for a skilled Machine Learning / AI Engineer with 37 years of relevant experience to join our Data Science & AI team in Bangalore. The ideal candidate should have strong technical expertise in machine learning, model deployment, MLOps, cloud infrastructure, and database technologies.

The candidate will be responsible for developing, deploying, and maintaining scalable machine learning models and production-ready AI applications.

Key Responsibilities

• Design, develop, train, and optimize machine learning models using PyTorch and/or TensorFlow.
• Develop and deploy scalable AI/ML applications and APIs in production environments.
• Implement and maintain CI/CD pipelines to automate model testing, integration, and deployment.
• Apply MLOps best practices for model versioning, monitoring, deployment, and lifecycle management.
• Utilize Docker and Kubernetes for application containerization and orchestration.
• Deploy and manage machine learning models and APIs on AWS cloud infrastructure, particularly AWS Lambda and EC2.
• Develop and optimize SQL queries using MySQL and work with NoSQL databases.
• Manage large-scale document metadata and implement efficient data storage and retrieval solutions.
• Collaborate with data scientists, software engineers, and cross-functional teams to integrate machine learning solutions into production systems.
• Monitor model performance, troubleshoot deployment issues, and ensure application reliability, scalability, and efficiency.
• Follow software engineering best practices, including code quality, testing, documentation, and version control.

Eligibility Criteri

• B.Tech or M.Tech in Computer Science IIT / NIT Only, Artificial Intelligence, Mathematics, Data Science, or a related technical discipline.
• Candidates from IITs or NITs as per the organization's hiring criteria.
• Experience Requirements
• 37 years of relevant experience in Machine Learning, Artificial Intelligence, or a related engineering domain.
• Practical exposure to machine learning model development and production deployment.
• Experience working with cloud platforms, databases, and scalable application architectures is preferred.

Required Technical Skills

• Machine Learning: Hands-on experience with PyTorch and/or TensorFlow.
• MLOps & CI/CD: Knowledge of CI/CD pipelines, model deployment, and MLOps workflows.
• Containerization: Familiarity with Docker and Kubernetes.
• Cloud Technologies: Experience or working knowledge of AWS Lambda and EC2-based API deployments.
• Databases: Strong understanding of SQL and MySQL, along with familiarity with NoSQL databases.
• Production Deployment: Experience deploying, monitoring, and maintaining machine learning applications in production.
• Data Management: Knowledge of large-scale document metadata processing and efficient
• data retrieval.

Compensation & Working Conditions

Experience: 3- 7 Years

CTC - 16–30 LPA

Location – Bangalore

Work Mode - On Site

Shift - Day Shift

Working Days - 6 Days a Week

Notice Period - Up to 30 Days

Interview Process

• 1st RoundHR – Initial Screening (Virtual)
• 2nd Round OPS
• 3rd RoundClient

Contact person: HR Madiha @ [phone removed]