AI ML Engineer
Key responsibilities
Develop applications using LLM APIs (Azure / OpenAI) and open-source models.
Implement prompt templates, evaluation loops and model instruction tuning.
Design and develop machine learning algorithms and deep learning applications
Build RAG pipelines: ingestion → embeddings → vector DB → retrieval.
Ship prototypes (FastAPI endpoints, simple UIs) and production grade deployments.
Write unit tests, monitoring hooks and participate in cost-control for API usage.
Must-have (non-negotiable)
1–3 yrs experience with Python/Keras/PyTorch.
Practical experience with Hugging Face / transformers or calling hosted LLM APIs.
Familiarity with embeddings + any vector DB (Pinecone / Weaviate / Milvus).
Basic web/API skills (FastAPI/Flask).
Azure/AWS/GCP hands-on experience
Nice-to-have
LangChain experience, Azure/Azure OpenAI exposure, experience with prompt engineering frameworks.
Basic knowledge of authentication (Azure AD / OAuth), SQL, and basic infra (Docker/Kubernetes).
Location: Novel MSR Building, Marathahalli Village, Marathahalli, Bengaluru, Karnataka, India
Skills required for this job:
- AWS
- LLM APIs
- Machine learning
- Microsoft Azure
- OpenAI API
- PyTorch
- Python
- Retrieval-augmented generation (RAG)