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Urgent! Machine Learning Engineer Job Opening In pune – Now Hiring Dexian

Machine Learning Engineer



Job description

Job Title: Senior Full-Stack AI/ML Engineer – Vision Analytics, LLMs & Hybrid Deployment

Location: Pune from KBL Baner Pune Office

Department: Corporate Information Centre (CIC)

Role Overview

As a Senior Full-Stack AI/ML Engineer at KBL, you will play a key role in developing and deploying intelligent systems that enhance operational efficiency, quality assurance, and customer experience.

You will work on a range of use cases from vision-based quality inspection and predictive maintenance to LLM-driven document understanding and automation .

This role requires strong technical depth, independent ownership, and the ability to collaborate with cross-functional teams across engineering, IT, and business domains.

Key Responsibilities

  • Lead the design, development, and deployment of AI/ML models across vision, language, and prediction use cases
  • Develop and implement solutions using LLMs (e.g., LLaMA, Azure OpenAI) and Computer Vision frameworks (OpenCV, PyTorch, YOLO, etc.)
  • Architect hybrid deployment models using Azure cloud and on-premises infrastructure , ensuring high availability and scalability
  • Collaborate with internal stakeholders using design thinking to convert business needs into AI solutions
  • Develop end-to-end ML pipelines (ETL, training, evaluation, inference, monitoring)
  • Optimize performance of models for real-time inference and resource efficiency (GPU/CPU)
  • Ensure best practices in CI/CD, containerization (Docker/Kubernetes), and model lifecycle management
  • Support internal teams with documentation, training, and handover of AI tools and platforms

Required Qualifications & Experience

  • B.Tech from a premier engineering institute ; M.Tech preferred
  • 5+ years of relevant experience in AI/ML engineering and production deployments
  • Proficiency in Python , PyTorch , and deep learning tools
  • Strong experience with LLMs (e.g., LLaMA, GPT) and vision analytics for object detection, classification, and OCR
  • Proven ability to deploy models on Azure and on-prem environments with GPU acceleration
  • Familiarity with predictive modelling techniques in manufacturing/engineering contexts
  • Excellent communication and stakeholder engagement skills


Desirable Skills (Good to Have)

  • Experience with digital twin models , edge computing , or smart factory systems
  • Knowledge of Hugging Face , vLLM , or other open-source LLM frameworks
  • Exposure to MLOps tools , API development (FastAPI), and automated model retraining
  • Awareness of data security , model interpretability , and ethical AI practices


Soft Skills & Role Readiness

  • Candidate should be self-driven and able to work independently with minimal guidance
  • Strong verbal and written communication skills to engage with business and technical teams
  • Ability to translate requirements into technical solutions using design thinking principles
  • Comfortable with working in a manufacturing/industrial environment if required onsite


Supplier Responsibilities

  • Conduct a technical screening and validation before sharing profiles.

  • Provide reference checks and past project verification (especially for AI/ML deployment experience)
  • Take ownership of resource onboarding , handover coordination , and periodic performance feedback collection and assistance
  • Provide a backfill plan in case of early attrition or performance misalignment


Required Skill Profession

Other General



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