Paymeindia - Machine Learning Engineer/Data Scientist (1-5 yrs)

Job Description :

- Strategize with Product Leaders : Partner with Product Managers to conceptualize and deliver cutting-edge intelligence features that elevate our product's value. Experiment and iterate to validate your ideas.

- Integrate Seamlessly : Work closely with front-end and back-end engineering teams to ensure your solutions are smoothly integrated, delivering impactful features to our users.

- Own the Process : Take full ownership of your projects, from initial development through to deployment, upholding the highest standards of quality throughout.

- Continuously Improve : Implement robust feedback loops within your solutions, learning from user interactions to refine and enhance your models over time.

- Craft Elegant Code : Write clean, maintainable code with automated testing and deployment pipelines, ensuring a seamless and scalable workflow.

- Drive Timely Delivery : Manage your project timelines effectively, coordinating with cross-functional teams-including Product Managers, Front-end and Backend Engineers, and QA-to bring your innovations to production on schedule.

- Communicate Proactively : As a key member of a distributed team, excel in communication, documentation, and time management, ensuring you are always in sync with your colleagues.

- Monitor and Optimize : Set up and maintain vigilant monitoring for your services in production, allowing us to proactively address any issues and maintain seamless operations.

Qualifications :

- 1 + years of proven work experience as a ML Engineer

- Understanding of software engineering fundamentals OOPS, SOLID, etc.

- Hands-on experience with Python libraries like Pandas, NumPy, Scikit-learn,

- Lang chain/Llama Index etc.

- Experience with machine learning frameworks such as PyTorch or TensorFlow, Keras, being proficient in Python

- Hands-on experience with frameworks such as Django or FastAPI or Flask

- Hands-on experience with MySQL, MongoDB, Redis and BigQuery (or equivalents)

- Extensive experience integrating with or creating REST APIs

- Experience with creating and maintaining CI/CD pipelines- we use GitHub Actions.

- Experience with event-driven architectures like Kafka, Rabbit Mq or equivalents.