AI/ML Engineer (Pune)

AI/ML Engineer (Pune)

16 Aug
|
Blessing SoftTech
|
Pune

16 Aug

Blessing SoftTech

Pune

Blessing Softtech

Job Title

AI/ML Engineer

Experience

4–5 years building and deploying machine learning or AI systems

Employment Type

Full-time

Location

Pune, Maharashtra, India

About the Role

Blessing Softtech is looking for an AI/ML Engineer to build AI capabilities into real products and run them reliably in production. This is an engineering role: the emphasis is on shipping working systems — training or integrating models, wrapping them in solid services, and keeping them fast, correct, and affordable once they are live.

You will work across classical machine learning and contemporary generative AI depending on what the problem needs. If your instinct on seeing a model in a notebook is to ask how it will be served, versioned, monitored, and paid for, this role will suit you.

Key Responsibilities

Model Development
- Build, train, and fine-tune machine learning and deep learning models for the problem at hand.
- Implement NLP, computer vision, recommendation, or forecasting solutions as project requirements demand.
- Evaluate whether to train from scratch,



fine-tune an existing model, or call a hosted API — and justify the choice on cost, latency, and accuracy.
- Design evaluation harnesses and benchmark against clear baselines before declaring anything ready.

Generative AI & LLM Systems
- Build applications on large language models — retrieval-augmented generation, agents, structured extraction, and summarisation.
- Implement embedding pipelines and vector search using tools such as FAISS, Pinecone, Qdrant, or pgvector.
- Design, test, and version prompts systematically rather than by trial and error.
- Fine-tune or adapt open models where a hosted API is not the right answer for cost, privacy, or accuracy.
- Build guardrails and evaluation for hallucination, safety, and output quality.
- Track and control token cost and latency in production.

Engineering & Deployment
- Wrap models as production services — REST or gRPC APIs, batch jobs, or streaming pip

📌 AI/ML Engineer (Pune)
🏢 Blessing SoftTech
📍 Pune

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