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Machine Learning Engineer

Exclusive opportunity

Onsite

Machine Learning Engineer

Eizen

Machine Learning Engineer

Skills

PythonData SciencePyTorchTensorFlowMachine LearningLinuxGDPRFastAPI

3 years 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

  • . Bachelors with 0-5+ years or MS with 0-3+ in engineering .

  • Minimum 5 experience in Machine Learning & Data Science Frameworks .

  • Experience in developing Python using FastAPI / FLASK frameworks . Nice to have Building Data Pipelines .

  • Practical experience with software engineering best-practices and a strong desire to create quality solutions and designs .

  • Writing effective and scalable Python codes

  • Designing and implementing robust applications

  • Debugging applications to ensure low-latency and high-availability

  • Integrating user-facing elements with server-side logic

  • Implementing security and data protection

  • Accommodating various data storage solution

  • Given that this is an early-stage startup, you will play an active role in functional requirements into concrete deliverables and build quick prototypes or proofs of concept

  • Ensure the quality of architecture and design of systems.

  • Possess expert knowledge in algorithm performance, its scalability and engineering best practices

Qualifications :

  • Bachelors with 0-5+ years or MS with 0-3+ in engineering
  • Minimum 5 experience in Machine Learning & Data Science Frameworks
  • Knowledge in TensorFlow / PyTorch
  • Experience in developing Python using FastAPI / FLASK frameworks
  • Nice to have Building Data Pipelines
  • Knowledge in GPU technologies and frameworks CUDA, NVIDIA computer vision SDKs
  • Practical experience with software engineering best-practices and a strong desire to create quality solutions and designs
  • Experience in design and implementation of large scale, distributed, high performance, and high availability systems
  • General understanding of ML concepts (Feature extraction, training regimes, etc)
  • Nice to have proven production systems based on Computer Science fundamentals such as: Computer Vision, algorithm design, problem solving, and complexity analysis, data structures, and object-oriented design
  • Linux environment.
  • Ability to document design and document code, write unit tests
  • Normal to medium level experience with TDD (test driven development)

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