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Ai Ml Engineer

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Hybrid

Ai Ml Engineer

Acse

Ai Ml Engineer

Skills

Google Cloud PlatformSQL QueriesDeep LearningDockerPythonData ScienceNumPypandasPyTorchTensorFlowMachine LearningAIAWSNo-code AutomationsAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Hybrid

Published on:

20 August 2026

What they need


Location: Pune We are seeking a passionate and innovative AI/ML Engineer / Data
Scientist to join our team and help design, develop, and deploy cutting-edge Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong analytical skills, hands-on experience with modern AI frameworks, and the ability to translate business requirements into scalable, production-ready models.
Key Responsibilities:

  • Design, train, evaluate, and optimize machine learning and deep learning models for business applications.
  • Develop Generative AI solutions using Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG) techniques.
  • Collect, clean, and analyse structured and unstructured data to build predictive and intelligent systems.
  • Collaborate with AI Full Stack Developers and business stakeholders to integrate AI capabilities into web and enterprise applications.
  • Build and maintain data pipelines, model APIs, and automated workflows for model deployment and monitoring.
  • Evaluate model performance, perform feature engineering, and continuously improve accuracy and efficiency.
  • Stay up to date with emerging AI technologies, research, and industry best practices.

Required Qualifications:

  • 4+ years in experience
  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field.
  • Strong proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy.
  • Experience working with LLMs, vector databases, and AI frameworks such as Hugging Face, Lang Chain, or LlamaIndex.
  • Familiarity with SQL, REST APIs, Git, Docker, and cloud platforms such as AWS, Azure, or Google Cloud.
  • Excellent problem-solving, communication, and collaboration skills.

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