AI Director / Director of Machine Learning
New
Ahmedabad; Coimbatore; Delhi NCR; Hyderabad; Kochi; Kolkata; India, 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)Full-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 7+ years of experience in Artificial Intelligence, Machine Learning, Data Science, or related technical disciplines; 3+ years of experience in an AI Lead, AI Manager, Head of AI, Director-level, or equivalent leadership position.
- Required Skills
- PythonMachine LearningPyTorchC++TensorflowStakeholder managementGenerative AI
Requirements
- 7+ years of experience in Artificial Intelligence, Machine Learning, Data Science, or related technical disciplines.
- 3+ years of experience in an AI Lead, AI Manager, Head of AI, Director-level, or equivalent leadership position.
- Proven experience leading AI/ML initiatives from concept through production deployment.
- Strong expertise in Machine Learning theory, algorithms, model development, and system design.
- Advanced proficiency in Python and experience developing production-grade AI/ML solutions.
- Strong experience with C++ and its application within AI, simulation, or high-performance systems.
- Hands-on expertise with modern Machine Learning frameworks including PyTorch and TensorFlow.
- Strong understanding of Generative AI technologies, Large Language Models (LLMs), and AI-assisted workflows.
- Strong stakeholder management and communication skills.
- Experience leading cross-functional teams and influencing technical strategy.
Responsibilities
- Define and lead the organisation’s AI and Machine Learning strategy, aligning initiatives with business and product objectives.
- Oversee the research, development, testing, and deployment of AI and ML solutions.
- Identify opportunities to leverage Generative AI, Machine Learning, and intelligent automation across products, workflows, and operational processes.
- Gather AI-related requirements, ideas, and challenges from stakeholders and translate them into actionable initiatives and delivery plans.
- Lead the execution of approved AI projects, proofs of concept, prototypes, and production implementations.
- Evaluate emerging AI models, frameworks, and technologies, recommending appropriate solutions based on business needs and technical requirements.
- Establish best practices, governance frameworks, and standards for AI development and deployment.
- Partner closely with engineering, product, design, and leadership teams to ensure successful adoption of AI capabilities.
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