Data Science- ML/AI/GenAI | 6 TO 12 years | Mumbai & Bengaluru & Gurugram
Last Date to Apply: Oct. 9, 2024
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Data Science- ML/AI/GenAI | 6 TO 12 years | Mumbai & Bengaluru & Gurugram
Job Description
Job Description
- Develop a comprehensive AI/ML and Generative AI strategy that integrates with the overall enterprise architecture and business goals.
- Design and implement AI/ML models and Generative AI solutions to enhance decision-making, automate processes, and create new product features.
- Lead the evaluation and selection of AI technologies, tools, and platforms, ensuring they meet our requirements for scalability, performance, and security.
- Collaborate with IT and business stakeholders to identify AI use cases and define requirements for AI-driven projects.
- Establish best practices for AI development, including data management, model training, testing, and deployment.
- Oversee the ethical considerations of AI implementations, ensuring compliance with data privacy laws and ethical guidelines.
- Stay abreast of the latest developments in AI/ML and Generative AI, evaluating emerging technologies for potential application within the organization.
- Advocate for a culture of AI literacy across the organization, providing training and resources to empower teams to leverage AI technologies.
- Lead cross-functional teams in the execution of AI projects, providing technical guidance and ensuring alignment with business objectives.
Primary Skills
- Minimum of 5 years of experience in AI/ML, with a proven track record of designing and deploying successful AI/ML solutions.
- Deep understanding of machine learning algorithms, deep learning architectures, and their practical applications.
- Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proficiency in programming languages used in AI/ML development (e.g., Python, R).
- Deep understanding of Generative AI technologies and their application in business contexts.
- Familiarity with cloud-based AI/ML services (AWS SageMaker, Azure ML, Google Cloud AI) and containerization technologies (Docker, Kubernetes).
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