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Senior AI/ML Engineer

AlifCloud IT Consulting Pvt. Ltd.

Pune

5+ years

Today

$43.4K–56.6K/yr

Full-time

Onsite

Skills Required

LLM

RAG

OpenAI

Gen AI

Hugging Face

LangChain

LlamaIndex

Agentic AI vLLM

Multimodal AI

Machine Learning

NLP

Deep Learning

PyTorch

TensorFlow

Description

Senior AI/ML Engineer role focused on Generative AI, LLMs, RAG systems, and production-grade machine learning. The position is based in Pune, India, with work from office mode.

Company: AlifCloud IT Consulting Pvt. Ltd.

Role: Senior AI/ML Engineer

Location: Pune, India (Work From Office)

Experience

- 5+ years in AI/ML Engineering
- 2+ years in Generative AI/LLM development
- Experience deploying AI systems at scale

Qualification

- Bachelor's degree in CS, AI, ML, or related field
- Master's degree in CS, AI, ML, or related field

Responsibilities

- Develop AI/ML and Generative AI applications
- Build and deploy LLM-based solutions
- Create RAG pipelines using vector databases
- Implement AI agents, prompt engineering, and workflow automation
- Design scalable ML pipelines and production AI services
- Deploy and monitor models using MLOps best practices
- Collaborate with cross-functional teams to deliver AI solutions
- Optimize model performance, scalability, and infrastructure costs

Nice To Have

- CrewAI
- AutoGen
- LangGraph
- Haystack
- Ollama
- vLLM
- ONNX
- TensorRT




- Experience with Voice AI, Computer Vision, or Multimodal AI

More Skills Python, Scikit-learn, OpenAI APIs, Chatbots, Pinecone, Weaviate, Chroma, FAISS, Milvus, AWS, Azure, GCP, Docker, Kubernetes, MLflow, Airflow, CI/CD, FastAPI, Flask, PostgreSQL, MongoDB, Redis, MLOps

Other

- Full time employment
- Salary up to 1.0 L per month
- Salary: Best in Industry
- Industry: IT Services
- Posted on 08/13/2026
- City: Pune City
- State/Province: Maharashtra
- Country: India
- Zip/Postal Code: 411001

Prepare for this role Recommended resources to build the skills for this position. Sponsored.

Generative AI with Large Language Models

Coursera

Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

Large Language Models: Application through Production edX

Production-focused LLM course covering deployment, monitoring, and scaling.

Functions, Tools and Agents with LangChain

Coursera

Advanced LangChain covering function calling, tool use, and conversational agents.

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