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Machine Learning Consultant

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Onsite

Machine Learning Consultant

Anlage Infotech

Machine Learning Consultant

Skills

Google Cloud PlatformDeep LearningPythonPyTorchTensorFlowMachine LearningAIAWSAzure

12 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


Years of Experience: 3-14 Years

Job Title: Machine Learning Engineer (Python Coding with ML Experience)

Location: Bangalore /Pune/ Indore / Bhuneshwar / Hyderabad/ Chennai

15 years full time education

Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Must have skills : Machine Learning (ML)

Minimum 3+ year(s) of experience is required

Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve creating production-ready solutions, applying generative AI models, and working with various technologies such as deep learning, neural networks, chatbots, and image processing to enhance system capabilities and performance.

Roles & Responsibilities:

  • Expected to be an SME.
  • Collaborate and manage the team to perform.
  • Responsible for team decisions.
  • Engage with multiple teams and contribute on key decisions.
  • Provide solutions to problems for their immediate team and across multiple teams.
  • Facilitate knowledge sharing sessions to enhance team skills and understanding.
  • Monitor project progress and ensure alignment with strategic goals.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Machine Learning.
  • Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.
  • Familiarity with data preprocessing and feature engineering techniques.
  • Ability to implement and optimize algorithms for performance and scalability.

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