Lead - Software Engineering - AI/ML

Job Description:

Job Title -Lead - ML Engineer

The Purpose of This Role

We are looking for a highly experienced and technically proficient Lead ML Engineer to lead the development, deployment, and scaling of machine learning infrastructure and pipelines and ML based applications.

The Value you Deliver

This role is ideal for someone with a strong foundation in backend development, Kubernetes-based deployment, AWS cloud infrastructure, and MLOps practices. You will play a key role in bridging the gap between data science and production systems.

Key Responsibilities:

• Create, design and maintain AI ML based application
• Design, build, and maintain scalable and secure MLOps pipelines using AWS Sagemaker for model training, validation, deployment, and monitoring
• Develop and deploy APIs and backend services using Python, FastAPI, and Spring Boot
• Manage containerized applications using Kubernetes and Amazon EKS
• Implement CI/CD pipelines for ML workflows and application delivery
• Collaborate with data scientists and Data Engineers to operationalize ML models in production
• Utilize AWS services for infrastructure, automation, and monitoring
• Ensure robust database integration and performance optimization
• Contribute to UI development using Angular

• Expertise with FastAPI and/or Java Spring Boot for API development.
• Deep expertise in Kubernetes and Amazon EKS/Azure AKS.
• Strong programming skills in Python.
• Hands-on experience with Amazon SageMaker,
• Proficiency in AWS /Azure cloud services (e.g., EC2, S3, Lambda).
• Understanding of database fundamentals (SQL/NoSQL)
• Hands-on experience with MLOps tools.
• Expertise with CI/CD tools and DevOps practices

• Experience with Angular or other front-end frameworks
• Exposure to data engineering and ETL pipelines,
• Exposure on Snowflake.

• Excellent communication and collaboration skills
• Ability to work cross-functionally with data science, engineering, and DevOps teams
• Strong problem-solving and critical thinking abilities
• Self-Driven, Proactive, adaptable, and committed to continuous learning

• Lead impactful ML infrastructure projects with cutting-edge technologies
• Be part of a collaborative, innovative, and inclusive team
• Opportunities for leadership, growth, and continuous learning
• Flexible work environment and supportive culture

• 7+ years of experience in MLOps, Backend Development , AWS, Python .
• Graduate / Postgraduate