SSE - Data/ML

Min Experience

3 years





About the role

As a Senior Software Engineer (Data & ML) You’ll Be:
● Architect, design, test, implement, deploy, monitor and maintain end-to-end backend
services. You build it, you own it.
● Work with people from other teams and departments on a day to day basis to ensure
efficient project execution with a focus on delivering value to our members.
● Regularly aligning your team’s vision and roadmap with the target architecture within your
domain and to ensure the success of complex multi domain initiatives.
● Integrate already trained ML and GenAI models (preferably GCP) in services.

What Makes You a Great Fit
● 5+ years of proven work experience as a Backend Python Engineer
● Understanding of software engineering fundamentals (OOPS, SOLID, etc.)
● Hands-on experience with Python libraries like Pandas, NumPy, Scikit-learn,
Langchain/LLamaIndex 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, RabbitMq or equivalents.
● Knowledge about
o LLMs
o Vector stores/databases
o Prompt Engineering
o Embeddings and their implementations
● Some hands-on experience in implementations of the above ML/AI will be preferred
● Experience with GCP/AWS services.
● You are curious about and motivated by the future trends in data, AI/ML, analytics, and
digital experience.


Large language models - LLM