Padmi

Ai/ml Engineer-1 (Hinjawadi)

MumbaiPosted 1 month ago
Software engineeringJuniorFull Time; Regular
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Job Details: Title: AI/ML Engineer Location: On-site (Pune, Maharashtra) Employment Type: Full-Time Experience: 1-4 years CTC: As Per Company Norms Job Summary: Responsibilities: - Build & maintain RAG pipelines (LlamaIndex, LangChain, vector DBs) - Train & deploy ML/DL models (CNN, RNN, Transformers, YOLO, Stable Diffusion) - Develop scalable backend systems & APIs (FastAPI, Flask, Django) - Implement CI/CD & MLOps best practices (Docker, K8s, MLflow, Jenkins) - Collaborate to improve system design & model performance Skills Required: - Programming: Python (primary), Bash/Shell scripting - ML/DL: Regression, XGBoost, CNNs, Transformers, etc. - NLP: Hugging Face, embeddings, preprocessing - LLMs: GPT, BERT, T5, LLaMA, Mistral - RAG Systems: LlamaIndex (preferred), FAISS, Qdrant, ChromaDB - Cloud: AWS, GCP, Azure - Databases: SQL, PostgreSQL, SQLite Education: B.Tech/M.Tech/MS in Computer Science, Data Science, Engineering, Statistics, or related fields. - Important Notes: Only Immediate Joiners (0-7 Days) preferred Past applicants (within 6 Month) need not apply How to Apply: Subject line: Application for AI/ML Engineer 1. Current Location 2. Total Relevant Experience 3. Current CTC 4. Expected CTC 5. Notice Period 6. Immediate Joiner Confirmation (Yes/No) Job Types: Full-time, Permanent Compensation: 500,000.00 - 600,000.00 per year Advantages: - Flexible schedule - Health insurance - Provident Fund Ability to commute/relocate: - Hinjewadi, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (required) Application Question(s): - What is your total relevant experience (in years) in AI/ML-related roles, including hands-on work with model development, deployment, or related systems - Have you worked on any projects involving LLMs or Generative AI (e.g., GPT, BERT, LLaMA, Mistral) - Have you implemented or contributed to any RAG pipelines - What is your experience with Python-based backend/API development (e.g., FastAPI, Flask, Django) .

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