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ideas to impacts innovation pvt ltd's logo

Sr. AI/ML Engineer

Philip pawar's profile picture
Posted by Philip pawar
6 - 10 yrs
₹10L - ₹18L / yr
Pune
Skills
skill iconPython
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
skill iconDeep Learning
Generative AI
Large Language Models (LLM)
LangGraph
LangChain
Retrieval Augmented Generation (RAG)

Senior AI/ML Engineer

šŸ“ Pune, Maharashtra (Onsite)

šŸ’¼ Experience: 6–10 Years

šŸ•’ Employment Type: Full-Time

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess strong expertise in production-grade Retrieval-Augmented Generation (RAG) systems, deep learning architectures, semantic search platforms, vector databases, and AI orchestration frameworks.

This role requires hands-on technical leadership, architectural ownership, and proven experience building scalable AI systems that operate reliably in production environments.

Key Responsibilities

  • Design and architect enterprise-grade RAG (Retrieval-Augmented Generation) solutions
  • Build and optimize document chunking, retrieval, reranking, and hallucination mitigation pipelines
  • Develop and deploy machine learning models using XGBoost, PyTorch, and TensorFlow
  • Design deep learning solutions including LSTM and transformer-based architectures
  • Build semantic search and vector retrieval systems using modern vector databases
  • Develop advanced AI workflows using LangChain and LangGraph
  • Design and implement multi-agent AI systems and orchestration frameworks
  • Lead AI model deployment, monitoring, optimization, and lifecycle management
  • Collaborate with cross-functional teams to translate business requirements into scalable AI solutions
  • Mentor junior engineers and contribute to technical leadership initiatives
  • Drive AI architecture decisions, performance tuning, and best practices

Required Skills & Qualifications

Must-Have Technical Skills

  • 6–10 years of software engineering and AI/ML development experience
  • Strong experience building and deploying production AI/ML systems
  • Hands-on expertise with RAG architectures and semantic retrieval systems
  • Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Qdrant
  • Strong knowledge of Machine Learning and Deep Learning concepts
  • Hands-on experience with:
  • PyTorch and/or TensorFlow
  • XGBoost
  • LangChain
  • LangGraph
  • Experience deploying AI applications in production environments
  • Strong debugging, performance optimization, and troubleshooting skills
  • Excellent Python programming skills
  • Understanding of REST APIs, microservices, and scalable system design

Preferred Skills

  • MLflow
  • Weights & Biases (W&B)
  • Kubeflow
  • Transformer architectures and LLM internals
  • MLOps practices and model lifecycle management
  • Multi-agent AI frameworks
  • Cloud platforms such as AWS, Azure, or GCP
  • Docker and Kubernetes
  • CI/CD pipelines for AI applications

Ideal Candidate Profile

You are someone who:

  • Has successfully deployed AI solutions into production environments
  • Understands enterprise-scale AI architecture and design patterns
  • Has practical experience with retrieval systems and vector search
  • Can independently drive AI initiatives from concept to deployment
  • Enjoys solving complex engineering challenges
  • Demonstrates strong ownership, leadership, and mentoring capabilities
  • Thrives in a fast-paced product and engineering environment

Who Should Not Apply

  • Prompt-engineering-only profiles
  • Candidates with only academic or research exposure
  • Tutorial/demo-level GenAI practitioners
  • Engineers without production deployment experience
  • Professionals lacking hands-on implementation expertise

Educational Qualification

  • B.E. / B.Tech in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, or related discipline
  • Master's degree is a plus

Work Location

šŸ“ Pune, Maharashtra (Onsite)

Hiring Preference

  • Immediate joiners preferred
  • Candidates currently working on production AI/ML systems will be given preference

Keywords

AI Engineer, Senior AI Engineer, Machine Learning Engineer, Generative AI Engineer, LLM Engineer, RAG Engineer, LangChain, LangGraph, Vector Database, Semantic Search, Deep Learning, PyTorch, TensorFlow, XGBoost, ML Engineer, AI Architect, MLOps, Multi-Agent Systems, Production AI

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About ideas to impacts innovation pvt ltd

Founded :
2015
Type :
Services
Size :
20-100
Stage :
Profitable

About

Established in 2015, Ideas to Impacts (i2i) is a purpose-driven cutting edge global technology solutions provider, headquarter in Pune, India. i2i offers specialized technology solutions in the fields of Software Product Engineering, Digital Transformation, Cloud, IoT, Cybersecurity, SAP, Artificial Intelligence/ Machine Learning, Data Annotation, Robotic Process Automation (RPA), and other emerging technologies, across industry segments. Also, recognizing the need for a hybrid work environment in the post-pandemic world, i2i has introduced an innovative operating model as an offering, Work From Home-town (WFHTĀ®). WFHTĀ® aims to equip global tech providers with the ability to operate from home-town (non-metros and small towns) offices. At i2i, we deliver solutions to our global and domestic customers, through our pioneering ā€˜Smart Town Model (STM)’, designed to ensure, teams across i2i are equipped to deliver best-in-class service quality to our customers. In the Smart Town Model (STM), customer management, architecture, design and mentoring related functions are handled by senior associates, based out of metro cities, while engineering, development, and support related activities are performed by Talent teams based out of Tier 2 and Tier 3 towns. This helps i2i deliver enhanced value to its customer, while significantly improving the quality of life of our talent and materially transforming communities. The model focuses on a three-pronged approach, to create value for the Customers, Talent, and Community.

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