About the role

This role entails designing, developing, and implementing a variety of complex backend solutions - by constantly adapting to emerging technologies. This role will involve collaborating with analytics and ML teams to build data pipelines, data platforms, and MLOps.

Whats in it for you?

• You will get to work on impactful products instead of back-office applications for the likes of customers like Facebook, Siemens, Roche, and more
• Exposure to different aspects of Data Science like MLOps, Deep Learning, etc.
• You will get to work on interesting projects like the Cloud AI platform for personalized cancer treatment
• Opportunity to continuously learn newer technologies
• Freedom to bring your ideas to the table and make a difference, instead of being a small cog in a big wheel
• Showcase your talent in Shark Tanks and Hackathons conducted in the company

Job requirements

Here’s what you’ll bring

• Strong programming experience in core Python, with a minimum of 4-8 years in Python application development
• Good design knowledge with OOPS
• Proficiency in Python 3.6 or higher, with the know-how of features in the latest versions
• Flask, Django, or equivalent to create backend APIs
• Expert in SQL and comfortable with traditional RDBs
• Experience with enterprise architecture and developing highly scalable services
• Good debugging skills with any Python IDE, adhering to PEP standards and unit testing

Good to have

• Python libraries used in Data Science development (Pandas, Scikit-learn, Plotly)
• Experience in AWS or any other cloud platforms
• An understanding of containerization services like Docker, Kubernetes
• An understanding of distributed processing tools like Spark (PySpark)