AI/ML Engineer

Mesh Works Inc.

Pune District

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Job summary

Mesh Works Inc. is looking for an AI/ML Engineer based in Pune, India. The successful candidate will design and develop advanced AI models with a focus on procurement, engineering, and supplier intelligence. This role requires a minimum of 2 years of relevant experience, particularly in startups or SaaS environments.

The ideal candidate should have deep expertise in Large Language Models (LLMs), Python, and various AI libraries. You will play a crucial role in architecting multi-agent AI systems, optimizing AI solutions using Azure services, and implementing MLOps practices.

Qualifications

  • 2+ years of experience in AI/ML engineering, preferably in startups or SaaS.
  • Deep expertise in LLMs and Natural Language Processing.
  • Proficient in using Python and various AI libraries.

Responsibilities

  • Design and develop advanced AI models for procurement and supplier intelligence.
  • Architect multi-agent AI systems for automated decision-making.
  • Collaborate with the development team to maintain production AI systems.

Skills

Artificial Intelligence
Machine Learning
Large Language Models (LLMs)
Python
Deep Learning Frameworks (PyTorch, TensorFlow)

Tools

Azure AI Services
MLOps tools (MLFlow, Kubeflow, Airflow)
Vector Databases (Pinecone, Weaviate, FAISS)

Job description

AI/ML Engineer

Location: Pune

Employment Type: Full-time

Experience: 2–5 years

Roles & Responsibilities
  • Design and develop advanced AI models focused on procurement, engineering & supplier intelligence
  • Architect and implement multi‑agent AI systems for automated decision‑making
  • Build and optimize retrieval‑augmented generation (RAG) systems integrated with LLMs and vector databases
  • Develop scalable AI solutions using Azure AI services
  • Fine‑tune models for optimal accuracy, efficiency, and latency
  • Collaborate with the development team to deploy & maintain production AI systems
  • Implement MLOps practices and feedback loops for continuous improvement
Requirements
  • 2+ years of experience in AI/ML engineering (startup or SaaS experience is a plus)
  • Deep expertise in Large Language Models (LLMs) and Natural Language Processing
  • Deep learning frameworks (PyTorch, TensorFlow)
  • Vector databases (Pinecone, Weaviate, FAISS)
  • Python and AI libraries (Hugging Face, LangChain)
  • Strong understanding of Azure & OpenAI API Integration
  • Multi‑agent systems & AI orchestration
  • MLOps tools (MLFlow, Kubeflow, Airflow)
  • Proven ability to work with both structured & unstructured data
  • Experience with cloud‑based AI deployment

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