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Generative AI / ML Engineer

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Onsite

Generative AI / ML Engineer

AIT Global Inc.

Generative AI / ML Engineer

Skills

Deep LearningPythonData ScienceKerasPyTorchTensorFlowMachine LearningAINLP / Natural Language Processing

2 months ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


Generative AI / ML Engineer Experience: 3-6 years

Job category: IT

Job Type: FullTime

Job Location: Pune

Number of Positions: 1

We are looking for an AI/ML Engineer to design, develop, and deploy intelligent solutions using machine learning, deep learning, natural language processing, and large language models.

Skills:

Artificial Intelligence and Machine Learning TensorFlow PyTorch, or Keras Large Language Models Natural Language Processing Model deployment and evaluation

Responsibilities:

  • Develop and evaluate machine-learning and generative-AI solutions.
  • Build applications using LLMs, NLP, and deep-learning frameworks.
  • Prepare, clean, and analyse datasets for model development.
  • Fine-tune models and create prompt, RAG, or agent-based workflows.
  • Deploy models and monitor their performance, accuracy, and reliability.
  • Collaborate with product, engineering, and business teams on AI use cases.
  • Document experiments, technical decisions, and model limitations.

Requirements

  • Bachelor s or master s degree in Computer Science, AI, Data Science, or a related discipline.
  • 3-6 years of relevant AI/ML development experience.
  • Strong programming knowledge of Python.
  • Experience with TensorFlow, PyTorch, Keras, or similar frameworks.
  • Practical understanding of LLMs, NLP, embeddings, and vector databases.
  • Knowledge of cloud-based AI services and MLOps is preferred.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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