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Senior Machine Learning Scientist – Gurugram, Haryana, India in IT & DevOps Department
in GoDaddy - India, Gurugram

Hybrid
Full-time
Senior
Permanent

Job description

See job offer description.


As a Senior Machine Learning Scientist at GoDaddy, you will develop and implement advanced machine learning algorithms to create intelligent software using Large Language Models and AI Agents. The role involves designing and refining ML models to enhance performance, scalability, and robustness, and assessing comprehensive evaluations for Generative AI problems. You will collaborate with cross-functional teams to integrate ML solutions into broader product and platform initiatives and explore cutting-edge ML technologies to keep GoDaddy at the forefront of innovation. The position requires 6+ years of experience in machine learning roles, strong knowledge of machine learning algorithms and techniques including supervised and unsupervised learning, deep learning, computer vision, and natural language processing. Proficiency in Python and familiarity with software engineering best practices such as version control, code review, and CI/CD are essential. Experience with AI-assisted coding tools like Cursor, Claude Code, or VS Code, and skills in prompt engineering for large language models are also required. Additional experience in building conversational systems, designing evaluation methods, and proficiency in Typescript are advantageous. This hybrid role is based in Gurugram, Haryana, India, allowing a mix of remote and office work. GoDaddy emphasizes diversity, equity, and inclusion in its culture, offering a supportive environment with a range of benefits including paid time off, retirement savings plans, bonus and equity opportunities, health benefits, parental leave, and employee resource groups. GoDaddy is an equal opportunity employer committed to fostering belonging and equitable opportunities for all employees. For application assistance, the recruiting team is reachable at [email protected], and unsolicited resumes from recruiters are not accepted.

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Benefits

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

Job requirements

  • 6+ years of experience in machine learning roles
  • Strong knowledge of ML algorithms, supervised and unsupervised learning, deep learning, computer vision, NLP
  • Proficiency in Python and software engineering best practices
  • Familiarity with AI-assisted coding tools like Cursor, Claude Code, or VS Code
  • Proficiency with prompt engineering and large language models
  • Experience building conversational systems (advantageous)
  • Experience designing evaluations and verification methods (advantageous)
  • Proficiency in Typescript (plus)