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Openings For Embedded Systems Engineer

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Onsite

Openings For Embedded Systems Engineer

Tekskills Inc.

Openings For Embedded Systems Engineer

Skills

Deep LearningPythonPyTorchTensorFlowMachine LearningAINLP / Natural Language Processing

9 days ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


Job highlights

  • Mandatory: . M Tech in AI / ML with background in Electronics & Communication (EC) or Computer Science (CS)
  • Preferred / Good to Have: .
  • Experience: 4+ years total,with at least 3+ years relevant in AI / ML domain.
  • Experience with at least one major AI / ML framework (PyTorch / TensorFlow)

Hi

we are hiring for Senior Software Engineer
We are seeking an experienced AI/ML Engineer with a strong academic and research foundation to contribute to the design, development, and implementation of advanced machine learning and deep learning solutions. The role requires expertise in state-of-the-art architectures, model optimization, and problem-solving applied to real-world scenarios.

Qualifications

Mandatory:

  • M. Tech in AI/ML with background in Electronics & Communication (EC) or Computer Science (CS).
  • Experience: 4+ years total, with at least 3+ years relevant in AI/ML domain.

Core Skillset (Must-Have):

  • Expertise in Deep Learning architectures: CNN, RNN, GNN, Transformers.
  • Strong programming skills in Python.
  • Experience with at least one major AI/ML framework (PyTorch / TensorFlow).
  • Track record in Computer Vision, Time-Series Analysis, Video Analysis.
  • Familiarity with Unsupervised & Semi-supervised learning techniques.

Preferred/Good to Have:

  • Image Processing, NLP, Edge/Embedded AI deployment
  • Design and develop cutting-edge AI/ML models for vision, time-series, and multimodal data.
  • Research and prototype advanced algorithms using state-of-the-art methods in deep learning.
  • Optimize models for performance and scalability across platforms.
  • Collaborate with cross-functional teams on real-world product and research applications.
  • Stay ahead of AI/ML trends, and apply them creatively to business challenges.

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