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VDart Digital

AI ML Engineer

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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)

Skills

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See also

ML / AI jobs by country — openings, pay and top skills →

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