TitleData Scientist
Education QualificationBachelor's degree in computer science, engineering, or a related field
Work Location: Bengaluru/Chennai
Work Mode: Work from OfficeExperience: 4-7 Years

Key Requirements:

  • Lead and contribute to the development of cutting-edge NLP models, with a strong emphasis on Large Language Models (LLMs) and General Artificial Intelligence (Gen AI).
  •  Utilize your expertise in Python, TensorFlow, and relevant libraries to architect, design, and implement sophisticated NLP solutions.
  • Drive the deployment of advanced NLP models in real-world applications, ensuring scalability and optimal performance.
  •  Act as a key point of contact in customer-facing interactions, understanding their requirements and translating them into innovative technical solutions.
  • Provide hands-on technical leadership to the NLP team, fostering collaboration, innovation, and continuous improvement.
  • Contribute individually to coding, testing, and debugging efforts within the NLP domain.
  • Stay current with the latest advancements in NLP, Gen AI, and machine learning to drive continuous improvement and innovation within the team.
  • Mentor junior team members, facilitating their professional growth and development. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver integrated solutions.
  • Proven expertise in Python and relevant NLP libraries and pretrained models. Strong understanding of deployment processes for NLP models in production environments.
  • Experience in Code management, review and integration.
  • Demonstrated ability to lead and collaborate with cross-functional teams. Customer-facing experience is a must.
  •  Excellent problem-solving skills and a proactive attitude towards addressing challenges and Strong communication skills, both written and verbal. Ability to thrive in a fast-paced, dynamic work environment.


Location

Bengaluru, India

Job Overview
Job Posted:
3 months ago
Job Expires:
Job Type
Full Time

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