Nisum - MLOps Engineer - Python/FastAPI

Key Responsibilities :

• Design, develop, and maintain scalable ML platforms and production-grade ML pipelines.
• Build and operationalize machine learning workflows using AWS SageMaker and MLOps practices.
• Develop robust and scalable applications and services using Python.
• Design and implement microservices and APIs for ML and data-driven applications.
• Containerize applications using Docker and implement reliable CI/CD pipelines.
• Work closely with data scientists, ML engineers, and software engineering teams to productionize ML models.
• Drive system architecture, technical design, and engineering best practices.
• Troubleshoot performance, scalability, reliability, and deployment issues in production environments.
• Provide technical leadership and contribute to architectural and technology decisions.
• Ensure solutions are scalable, secure, maintainable, and aligned with business requirements.

Required Skills &

Experience :

• 7 years of overall software/ML engineering experience.
• 5 years of hands-on AWS experience.
• Strong programming expertise in Python.
• Strong experience with MLOps, AWS SageMaker, and ML pipelines.
• Experience designing and developing microservices and APIs.
• Hands-on experience with Docker/containers and CI/CD.
• Strong understanding of system design, architecture, scalability, and production engineering.
• Demonstrated technical leadership and technical design experience.

Good to Have :

• Flask/Django
• AsyncIO
• Kubeflow
• MLflow
• Amazon Aurora
• RabbitMQ
• Harness
• AWS CodeCommit

Preferred Candidate Profile :

• Strong problem-solving and analytical skills.
• Experience building and operating production-grade ML systems.
• Ability to work effectively across ML, software engineering, and platform teams.
• Strong communication skills with the ability to influence technical decisions and mentor engineering teams.