Lead Data Scientist

3 weeks ago

bangalore, India State Street Corporation Full time

Responsibilities

:
General
Lead data science projects or teams, aligning with business needs and delivering value. Drive the development and implementation of innovative algorithms and methodologies to addressplex business challenges. Define andmunicate the technical direction and strategy for the team and the project. Provide technical guidance and promoting best practice within the team. Ensure the quality of project deliverables meet the required standards. Tellpelling, data-driven stories visually and verbally. Collaborate with cross-functional teams, providing technical leadership in the development of AI-driven applications. Optimize for performance, scalability, and practical applicability in real-world scenarios. Stay up-to-date on ongoing AI development activities across thepany.
Generative AI and LLM
Develop, implement, and optimize large language models and Generative AI technologies, including training/finetuning andputation optimizations. Collaborate with software engineers to deploy LLM and other Generative AI models into production environments. Pre-train and finetune over large GPU clusters while optimizing for various trade-offs. Improve upon the state-of-the-art in Generative AI model architectures and training techniques. First-hand experience with deep reinforcement learning, fine-tuning methods (like RLHF & DPO) as well as parameter efficient techniques (like LoRA & DoRA). Stay up to date with the latest advancements in the field of Generative AI.
Industry research and Innovation
Lead data science partnerships and IP improvement. Conduct pioneering research in Generative AI, NLP, Information Retrieval, Vision and LLMs. Stay abreast of the latest advancements in AI technologies. Mentor and guide a team of innovative individuals, fostering a culture of innovation, excellence, and continuous learning.
Management
• Work with, leverage, and mentor other data scientists to maximize impact and throughput.
• Live and define a culture, value and practice leadership principles.
• Attract and retain great people; Know each individual's capabilities and aspirations; Invest in the growth of others.
A minimum of 12 years of relevant work experience with a Bachelor's Degree or 10+ years of work experience with an Advanced degree ( Masters) or 7+ years of work experience with a PhD inputer Science, Statistics, Mathematics, Machine Learning, or related disciplines.
Core/Must Skills :
Deep expertise in data science/machine learning, deep learning, ML Engineering, MLOPs and deployment.
Proficiency in Python and relevant ML libraries (, TensorFlow, PyTorch).
Experience in deep learning frameworks (like PyTorch or TensorFlow) and distributed training tools (like DeepSpeed or Pytorch Distributed).
Excellent problem-solving skills and the ability to work independently and collaboratively.
Familiarity with cloud platforms (, Azure, AWS) and distributedputing.
Strong understanding of software engineering principles and best practices.
Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories.
Industrial experience in system design, software development, and production deployment.
Top-tier performance in prestigious deep learning leaderboards or large model-relatedpetitions.
Good to Have:
Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories. Industrial experience in system design, software development, and production deployment. Top-tier performance in prestigious deep learning leaderboards or large model-relatedpetitions. Contributions to open-source technologies Hybrid:
On-premise
Keywords:
Lead Data Scientist, Generative AI, Senior AI/ML Developer,Azure/AWS
Job ID R-749435

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