SSE - AI / ML

Responsibilities:

• Architect, design, test, implement, deploy, monitor, and maintain end-to-end AIML services. (Own complete modules/features end-to-end).
• 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 ensuring the success of complex multi-domain initiatives. Integrate already trained ML and GenAI models (preferably GCP) in services.

Requirements:

• Overall 5+ years of experience in ML engineering.
• Dedicated 2+ years of proven work experience as an AI/ML/LLM engineer.
• Understanding of AIML and Gen AI software engineering fundamentals (LLM, prompts, context, inference, etc. ).
• Hands-on experience with Python libraries like Pandas, NumPy, Scikit-learn, Langchain, LlamaIndex, etc.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, and 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 AI/ML/LLM-based modules.
• Experience with creating and maintaining CI/CD pipelineswe use GitHub Actions.
• Experience with event-driven architectures like Kafka, RabbitMQ, or equivalents.
• Deep knowledge about LLMs, vector stores/databases Prompt/Context Engineering Embeddings and their implementations: KV caching.
• Experience with GCP/AWS services.
• Curious about and motivated by the future trends in data, AI/ML, analytics, and digital experience.

Skills

GenAI, Keras, LLM, LangChain, LlamaIndex, PyTorch, Python, TensorFlow