Advanced AI and ML Solutions Lead

1 week ago

Bengaluru, Karnataka, India beBeeDataScience Full time US$ 1,04,000 - US$ 1,30,878
Data Science Leadership Opportunity

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help us become even better, too.

A seasoned Data Science Manager with a minimum of 10 years of experience in Data Science and Machine Learning is sought to lead our AI team. The ideal candidate will have a strong background in NLP, Transformers, Generative AI, Agentic Frameworks, Responsible AI, and MLOps, as well as experience in deploying AI solutions across various cloud platforms.

The successful candidate will direct and support the AI team in developing and implementing advanced AI/ML solutions, ensuring projects align with our business objectives. They will oversee the entire lifecycle of AI projects, from ideation to deployment, prioritizing tasks, and managing resources to meet deadlines and deliverables.

  • Leadership: Direct and support the AI team in developing and implementing advanced AI/ML solutions.
  • Project Management: Oversee the entire lifecycle of AI projects, from ideation to deployment.
  • Technical Mastery: Utilize expertise in Python, NLP, Transformers, and Generative AI to lead technical innovation and maintain high standards of excellence within the team.
  • Cloud and MLOps Integration: Leverage cloud platforms for deployment and incorporate MLOps practices to enhance model development, deployment, and monitoring.
  • System Architecture: Architect scalable, reliable, and high-performing AI systems that integrate seamlessly with existing infrastructure.
  • Stakeholder Collaboration: Engage with stakeholders to convert business challenges into analytical questions, fostering a data-driven culture and driving impactful solutions.
  • Team Development: Mentor team members, promote professional growth, and cultivate a culture of innovation and continuous improvement.
  • Ethical AI Implementation: Uphold ethical standards in AI practices, ensuring models are fair, transparent, and accountable.

Key Requirements:

  • Degree in Computer Science, Engineering, or a related technical field at the bachelor's or master's level.
  • At least 10 years of professional experience in Data Science and Machine Learning, including a leadership role with a documented history of success.
  • Expertise in Python programming and experience with AI/ML libraries such as TensorFlow or PyTorch.
  • Comprehensive understanding of Natural Language Processing (NLP) and hands-on experience with Transformer architectures.
  • Proficient in leveraging cloud platforms for the deployment of AI-driven solutions.
  • Solid grasp of MLOps concepts and practical experience with tools such as Docker, Kubernetes, and Git for operational efficiency.

Benefits:

  • Opportunity to work with a dynamic team of experienced professionals.
  • Chance to develop and implement cutting-edge AI solutions.
  • Promote professional growth and foster a culture of innovation and continuous improvement.
  • Uphold ethical standards in AI practices.

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