
EY-GDS Consulting-AI And DATA-Data ...
Responsibilities
Qualifications & Requirements
Experience Level: Executive
Full Job Description
Data Science Manager - AI and Data
Join EY in Kolkata, West Bengal, India, as a Data Science Manager within our GDS Consulting AI & Data practice. At EY, we offer the chance to build a career as unique as you are, supported by global scale, an inclusive culture, and cutting-edge technology. We are looking for a seasoned Data Science Manager with a minimum of 8 years of experience in Data Science and Machine Learning to lead our AI team. The ideal candidate will possess a strong background in NLP, Transformers, Generative AI, Responsible AI, and MLOps, coupled with experience deploying AI solutions across various cloud platforms.
Key Responsibilities:
- Lead and support the AI team in developing and implementing advanced AI/ML solutions, ensuring alignment with strategic goals.
- Oversee the entire lifecycle of AI projects, from ideation to deployment, including prioritization and resource management.
- Utilize expertise in Python, NLP, Transformers, and Generative AI to drive technical innovation.
- Leverage cloud platforms like AWS for deployment and integrate MLOps practices for enhanced model development and monitoring.
- Architect scalable, reliable, and high-performing AI systems that integrate with existing infrastructure.
- Collaborate with stakeholders to translate business challenges into analytical questions and foster a data-driven culture.
- Mentor team members, promote professional growth, and cultivate a culture of innovation.
- Uphold ethical standards in AI practices, ensuring fairness, transparency, and accountability.
- Communicate complex technical details effectively to diverse audiences.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field; Ph.D. preferred.
- Minimum of 8 years of professional experience in Data Science and Machine Learning, including a successful leadership role.
- Expertise in Python programming and AI/ML libraries (e.g., TensorFlow, PyTorch).
- Comprehensive understanding of Natural Language Processing (NLP) and hands-on experience with Transformer architectures.
- Proficiency in leveraging AWS cloud platforms (S3, EC2, Lambda, RDS, Glue, Sagemaker, EMR, Step Functions) for AI solution deployment.
- Solid grasp of MLOps concepts and practical experience with tools like Docker, Kubernetes, and Git.
- Capability in architecting and executing CI/CD workflows and managing infrastructure as code (Terraform, AWS CloudFormation).
- Exceptional problem-solving, analytical, and communication skills.
- Deep knowledge of AI/ML frameworks, NLP techniques, and Transformer-based model implementations.
- Proficiency in MLOps methodologies, including LLMOps.
- Experience developing APIs using frameworks like FastAPI.
- Understanding of container orchestration (AWS EKS) and familiarity with infrastructure frameworks like Bedrock.
- Expertise in AI governance and managing risk and compliance for AI deployment.
- Proven ability to champion ethical decision-making in AI development and operations.
EY is committed to building a better working world.
Company
EY
Ernst & Young (EY) is a global leader in assurance, consulting, tax, strategy, and transactions services. We empower our teams to build a better working world by helping create long-term value for cli...