- As a Software Engineer (AI ML) you will: Build end-to-end AIML services - You build it, you own it
- Work with people from other teams and departments on a day to day basis to ensure effective project execution with a focus on delivering value to our members.
- Regularly aligning your team 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 you need
- 2+ years of proven work experience as a AI/ML/LLM Engineer.
- Understanding of AIML 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 or TensorFlow, Keras, being proficient in Python
- Hands-on experience with frameworks such as 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 pipelines - we use GitHub Actions.
- Experience with event-driven architectures like Kafka, RabbitMq or equivalents.
- Good 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.
What you not get
- Monotony Work is dynamic, expect variety every day.
- Slow climbs Growth here is about leaps, not ladders.
- Layers of red tape We believe in speed, not bureaucracy.
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.