Senior Data Scientist
7 days ago
Position: Senior Data Scientist - Generative AI & LLM
Location: Hyderabad
Department: Data Science
Position Type: Full-Time
Experience Level: 4-10 years
Job Overview:
We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative team. The ideal candidate will possess a strong background in Large Language Models (LLM) with a focus on generative AI, prompt engineering, and the development of automation use cases. Experience with Azure's GPT-4 or ChatGPT platforms is essential. Full stack development skills and proficiency in .NET will be considered a strong asset. This role requires a creative and analytical mindset to retrain LLMs using curated data sets.
Key Responsibilities:
Develop and implement advanced algorithms for generative AI models, ensuring high standards of quality and innovation.
Expertly craft prompts and fine-tune generative AI to optimize performance for various tasks.
Design and deploy automation solutions using Azure GPT services, streamlining business processes.
Collaborate with cross-functional teams to integrate AI solutions with full-stack development tools, utilizing .NET when applicable.
Lead the process of retraining LLMs with curated datasets to meet specific objectives for the business case.
Stay abreast of the latest advancements in AI, machine learning, and related technologies, continuously driving improvement and innovation.
Mentor junior data scientists and engineers, providing guidance on best practices in AI.
Qualifications:
Bachelor/Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.
4-10 years of professional experience in data science with a focus on generative AI and Large Language Models.
Proven track record of working with Azure's GPT services, ChatGPT, or similar platforms.
Experience in prompt engineering and fine-tuning LLMs for specialized applications.
Strong programming skills, including experience with full-stack development tools. Proficiency in .NET is highly desirable.
Demonstrated ability to work with curated datasets for retraining purposes, with a specific focus on enhancing the performance of LLMs.
Excellent problem-solving skills, with the ability to work independently and as part of a team.
Strong communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.
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