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AI/ML Engineer

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Onsite

AI/ML Engineer

IntraEdge Technology

AI/ML Engineer

Skills

Google Cloud PlatformDeep LearningPythonNumPypandasPyTorchTensorFlowRMachine LearningAIAWSAzure

2 years ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


Job highlights

  • Bachelors or Masters degree in Computer Science,Information Technology,Mathematics,Statistics,or related fields
  • . Proficiency in programming languages such as Python or R (knowledge of libraries like TensorFlow,PyTorch,NumPy,and Pandas preferred)
  • . Hands-on experience or academic projects involving AI / ML solutions,predictive modeling,or deep learning is a plus

We are looking for enthusiastic and talented AI/ML Engineers to join our team. If you are passionate about artificial intelligence, machine learning, and solving real-world problems through technology, this opportunity will provide you with the perfect environment to learn, grow, and innovate

Job Requirements

Responsibilities:

  • Assist in designing, developing, and implementing machine learning models and algorithms.
  • Analyse large datasets to derive insights and improve existing models.
  • Collaborate with cross-functional teams to solve business challenges using AI/ML techniques.
  • Conduct testing and validation of machine learning solutions to ensure robustness and accuracy.
  • Help in building end-to-end pipelines for data preparation, training, and deployment of models.
  • Work on model optimization, hyperparameter tuning, and debugging to improve efficiency and performance.
  • Stay updated with the latest AI/ML trends, tools, and frameworks.

Skills and Qualifications:

  • Educational Qualification: Bachelors or Masters degree in Computer Science, Information Technology, Mathematics, Statistics , or related fields.
  • Strong foundational knowledge in machine learning concepts, algorithms, and techniques.
  • Proficiency in programming languages such as Python or R (knowledge of libraries like TensorFlow, PyTorch, NumPy, and Pandas preferred).
  • Basic understanding of data structures , algorithms , and mathematical concepts like statistics, linear algebra, and probability.
  • Hands-on experience or academic projects involving AI/ML solutions, predictive modeling, or deep learning is a plus.
  • Good analytical and problem-solving skills.
  • Familiarity with tools such as Jupyter Notebooks , Git, or cloud platforms like AWS, Azure, or Google Cloud is an added advantage.

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