Machine Learning Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 1 year ago
2-4 years
Noida
Data Science Analytics & Machine Learning
Hybrid
Full Time
Upto ₹0 - ₹0

Posted: 1 year ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

What role you will play in team: You will work closely with our team to design, develop, and deploy machine learning models for various products and services.

What you will do: You will play a key role in the entire machine learning lifecycle, from data collection to model deployment.

Key responsibility:

  • Design, develop, and deploy machine learning models.
  • Work with large datasets and perform feature engineering.
  • Evaluate model performance and optimize for accuracy and efficiency.
  • Collaborate with data scientists and engineers.
  • Develop and maintain machine learning infrastructure.
  • Stay up-to-date on the latest advancements in machine learning.

Required Qualification and Skills:

  • Master's degree in Computer Science or a related field.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Proficiency in Python or similar programming languages.
  • Strong understanding of machine learning algorithms.
  • Experience with cloud platforms (e.g., AWS, GCP, Azure).

Benefits Included:

  • Competitive salary and benefits.
  • Opportunities for professional development and growth.
  • Work on cutting-edge technology.
  • Collaborative and innovative work environment.

A Day in the Life: Your day will involve coding, debugging, testing, collaborating, and learning about new machine learning techniques.

Skills

PythonTensorFlowPyTorchMachine LearningAWS

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About Company

Common Services Centers (CSC) are one of the crucial enablers of the Digital India Programme. They are the access points for delivery of various e-governance.Digital India is a flagship programme of the Government of India with a vision to transform India into a digitally empowered society and knowledge economy.

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