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Machine Learning Scientist (Engineer) – India in IT & DevOps Department
in GoDaddy - India, Pune

Hybrid
Full-time
Mid
Permanent

Job description

See job offer description.


Join GoDaddy’s Data and Artificial Intelligence team as a Machine Learning Scientist, where you will play a critical role in designing and implementing advanced machine learning algorithms for Pricing and Generative AI projects. Your work will involve developing and deploying machine learning models using Python and other state-of-the-art ML frameworks such as PyTorch and TensorFlow. You will be responsible for building APIs to deliver real-time and batch-mode predictions to customers, leveraging AWS, Docker, and cloud technologies. Additionally, you will monitor and optimize the performance, accuracy, and reliability of ML solutions with logging, metrics, and dashboards. This position welcomes candidates with 4+ years of experience in machine learning or related fields, proficiency in Python, and familiarity with various ML algorithms and technologies, offering an evergreen opportunity across multiple levels. By collaborating with cross-functional teams, you’ll contribute to the development of standardized processes for model evaluation, validation, and production deployment, ensuring the adoption of innovative ML technologies while maintaining a competitive edge. This job emphasizes the importance of diverse backgrounds and experiences and promises to help you grow through its supportive culture that values inclusion and equity.

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Benefits

  • Paid time off
  • Retirement savings (e.g., 401k, pension schemes)
  • Bonus/incentive eligibility
  • Equity grants
  • Employee stock purchase plan
  • Competitive health benefits
  • Family-friendly benefits including parental leave

Job requirements

  • 4+ years of experience in machine learning or related fields
  • Proficiency in Python and machine learning algorithms
  • Experience deploying ML models in production using AWS
  • Hands-on experience building APIs for ML model serving
  • Strong understanding of software engineering best practices
  • Ability to work independently and collaboratively
  • Experience writing unit tests and documentation for ML code
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