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 be a crucial member of our team, designing, developing, and deploying machine learning models to improve our products and services.

What you will do: You will collaborate with data scientists and engineers to build and maintain machine learning systems.

Key responsibility:

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

Required Qualification and Skills:

  • Master's degree in Computer Science, Engineering, or a related field.
  • Experience with machine learning algorithms and frameworks.
  • Proficiency in Python or Java.
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Strong problem-solving and analytical skills.

Benefits Included:

  • Competitive salary and benefits.
  • Opportunities for growth and advancement.
  • Collaborative and innovative work environment.
  • Health insurance.
  • Paid time off.

A Day in the Life: Your day will involve building and testing models, improving infrastructure, and collaborating with a team of talented engineers.

Skills

PythonJavaMachine LearningDeep LearningTensorFlowPyTorchAWSAzureGCP

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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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