Data Scientist Lead

5 - 10 years

5 - 10 Lacs

Posted:6 days ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

  • Lead the design and implementation of AI/ML models, with a focus on natural language processing, information extraction, information retrieval, large language models, and both supervised and unsupervised machine learning techniques.
  • Develop and maintain production-ready code, ensuring high quality through unit testing and code reviews.
  • Collaborate with product managers and stakeholders to align AI solutions with business objectives and product goals.
  • Stay abreast of the latest advancements in AI/ML technologies, including large language models and machine learning techniques, and integrate relevant innovations into our projects.
  • Benchmark AI systems, including large language models, to ensure optimal performance and scalability.
  • Mentor and guide junior engineers, fostering a collaborative and inclusive team environment.
  • Drive the AI development lifecycle from ideation to deployment, ensuring timely and successful project delivery.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
  • Proven experience in AI/ML engineering, with a strong focus on Python development.
  • In-depth knowledge of natural language processing, large language models, supervised and unsupervised machine learning, and the AI development lifecycle.
  • Demonstrated ability to write clean, efficient, and production-ready code.
  • Experience with unit testing in Python and familiarity with AI benchmarking techniques.
  • Entrepreneurial mindset with a product-driven approach to AI development.
  • Strong problem-solving skills and the ability to work independently and collaboratively.
  • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred qualifications, capabilities, and skills

  • Familiarity with cloud platforms
  • Experience in AI monitoring tools and methodologies

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