AI/ML Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 1 year ago
0-1 years
Delhi NCR
Data Science Analytics & Machine Learning
Work From Office
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: Develop and deploy AI/ML solutions to automate processes and improve efficiency.

What you will do: Design, develop, and implement machine learning models to improve various business processes.

Key responsibility:

  • Design and implement AI/ML algorithms for various applications.
  • Develop and deploy machine learning models using cloud platforms.
  • Evaluate model performance and identify areas for improvement.
  • Collaborate with engineers and product managers to define requirements.
  • Maintain up-to-date knowledge of the latest advancements in AI/ML.

Required Qualification and Skills:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience with machine learning frameworks like TensorFlow or PyTorch.
  • Proficiency in Python and related libraries.
  • Experience with cloud platforms like AWS, Azure, or GCP.
  • Strong problem-solving and analytical skills.

Benefits Included:

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • Collaborative and innovative work environment.
  • Opportunities to work on cutting-edge AI/ML projects.

A Day in the Life: A typical day will involve coding, training models, evaluating performance, collaborating with the team, and staying up-to-date on new technologies.

Skills

PythonTensorFlowPyTorchMachine LearningDeep LearningCloud ComputingAWSAzureGCP

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About Company

Optiver is a leading global market maker, providing liquidity to the world's financial markets. We are known for our quantitative approach, technological innovation, and commitment to excellence. We offer a challenging and rewarding environment where individuals can contribute to the success of our business and grow professionally.

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