Machine Learning Engineer (4-10 yrs)

Role : ML Engineer (Fullstack)

Location : Hyderabad / Chennai / Bangalore (Hybrid)

Job Description :

Curious about the role? What would your typical day look like?

- Lead cross-functional technical teams across distributed systems, program management, app engineering, and product teams while working on all aspects of the design, development, and delivery of machine learning-enabled end-to-end pipelines and solutions.

- Design and architect microservices to support the full Machine learning lifecycle, right from Development to Deployment

- Build scalable microservice architectures that can handle high volume data requests and high concurrency

- Architect solutions for high availability, low latency, and high throughput.

- Improve system reliability. Troubleshoot and investigate any identified issues

- Build reusable patterns, libraries, and perfect test cases to introduce highly reliable and scalable application platforms

- Writing high-performance, reliable, and maintainable code.

- Interface with various interactive services and clients, including web and mobile applications.

What do we expect?

Core :

- Experience in leading a team as well as handling customer stakeholders

- Hands-on experience in building scalable solutions using microservices & deployment of ML Algorithms in production

- Excellent programming skills in Python; a good understanding of Go is a plus.

- Experience in Test-Driven Development

- Expert knowledge of building and maintaining in Production

- Experience in cloud (AWS/Azure/Google) is mandatory

Frontend :

- Exposure to front-end frameworks like React/Angular, having led teams and built applications

- Experience is creating reusable components and libraries

- Experience is optimising the performance of the web applications

- Exposure to mobile application development is a plus

Database :

- Proficient with SQL, RDBMS such as Postgres, MySQL, SQL Server, Oracle, and/or experience with NoSQL DBMSs such as MongoDB.

- Familiarity with some ORM (Object Relational Mapper) libraries like SQLAlchemy

- Experience in optimising the performance of the queries.

Backend :

- Experience in server-side/back-end full cycle product development in a production environment in Python

- Hands-on experience in python server frameworks like Django, Flask, and FastAPI

- Strong testing and debugging skills.

- Strong trouble-shooting skills that span systems (Linux), networks, and applications

- Understanding of the threading limitations of Python and multi-process architecture.

CI/CD :

- Good knowledge of software engineering practices like version control (GIT) and devops

- Understanding of ML/AI Pipeline & Development life cycle & tools, MLOps Knowledge

Project Management :

- Leveraging Agile and Lean software development methodologies to drive reliability upstream into the product development life cycle.