Details:

• Scalable deployment of the models developed by the Data Scientists team.
• API development for the consumption of these models.
• Setting up CI/CD pipelines.

Min. Qualification:

• Experience in building modern web applications (preferably RESTful) with Django/Flask frameworks (or equivalent).
• Experience with writing comprehensive test suites - Writing unit test cases, integration tests and maintaining test environments.
• Fluency in Python with a hunger for best coding practices
• Experience with cloud platforms (AWS/GCP), Preferably GCP.
• Experience using Celery for asynchronous task queues (with Redis/RabbitMQ/etc)
• Comfortable with SQL/NoSQL databases such as PostgreSQL, MongoDB, etc.

Good to have

• Good understanding of Docker and container platforms like Docker swarm or Kubernetes
• Some familiarity with ML models will be good to have

Skills Required:

Python, Mongodb, Rest API, Redis, AWS

Roles:

• Key will be to integrate AI/ML algorithms (written by another team) into an enterprise product.
• Partner with Product Manager and Data Architects to ensure alignments between AI work & business objectives.
• Build, test, deploy the product.
• Maintain AI infrastructure along with other engineers.
• Own significant areas of the code for both new feature development and maintenance/redesign of existing areas of the product to accommodate rapidly evolving features.