Machine Learning Engineer jobs in Pune District

AppZen

Role: AI/ML Engineer About Us: AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business

UsefulBI Corporation

Location: Bangalore / Lucknow/ Pune Work Model- Hybrid Experience: 4-6+Years Company’s website: https://usefulbi.com LinkedIn link: UBI LinkedIn Role Overview: We are looking for an experienced MLOps Engineer with strong hands-on expertise in AWS, Amazon SageMaker, MLflow, Python, and CI/CD to build

Sonata Software

Dear All, Looking for ML Engineer. Location: Pune/ Availabilty:0-15 days (Only Immediate joiners) Mandatory skills: (Machine Learning Engineer) Experience with recommendation systems, predictive analytics, forecasting, classification, anomaly detection, or optimization problems. Hands-on experience

Bajaj Finserv

About the Role We are looking for an AI/ML Engineer with hands-on GEO/AEO experience to build production-grade AI solutions and improve visibility across AI-powered search, conversational interfaces and generative search experiences . Roles & Responsibilities Design, develop and deploy productio

Tata Consultancy Services

Role: MLOps Engineer Experience: 6–10 Years Location: Chennai, Bangalore, Hyderabad, Pune, Mumbai Notice Period: Immediate Joiners Required Skills Strong experience in MLOps, Machine Learning, and AI/ML lifecycle management Hands-on experience with Python and ML frameworks such as TensorFlow, PyTorc

Emergys

Experience: 4-8 Years Location: Pune, Baner (Hybrid) Shift: Open to 24×7 Weekly Rotational Shifts Must-Have Skills LLM Inference: vLLM, TGI, TensorRT-LLM, SGLang, KV Cache. RAG & Agentic AI: RAG, LangGraph/LlamaIndex, embeddings, tool calling. ML Engineering: Python, PyTorch, Hugging Face, LoRA/

Bajaj Finserv

About the Role We are looking for a strong AI/ML Engineer with hands-on experience in Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), or Search Generative Experience (SGE) . The ideal candidate will combine AI/ML engineering expertise with a deep understanding of AI-powered s