Key skills
PythonPyTorchTensorflowC++CAIArtificial IntelligenceMachine LearningMLGenerative AILarge Language ModelsAgenticTensorFlowLeadershipStakeholder ManagementMentoringCommunication
About this role
Role Overview
- 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.
- Explore, develop, and prototype custom and locally hosted AI models trained on proprietary datasets.
- Establish best practices, governance frameworks, and standards for AI development and deployment.
- Define guidelines for agentic AI systems and autonomous workflows.
- Partner closely with engineering, product, design, and leadership teams to ensure successful adoption of AI capabilities.
- Provide technical leadership and mentorship to engineers and AI practitioners.
- Educate stakeholders on AI capabilities, limitations, risks, and practical applications.
- Stay current with industry trends, research advancements, and emerging technologies within the AI and Machine Learning landscape.
- Communicate complex AI concepts and technical decisions clearly to both technical and non-technical audiences.
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, TensorFlow.
- Strong understanding of Generative AI technologies, Large Language Models (LLMs), and AI-assisted workflows.
- Experience evaluating, implementing, and integrating AI solutions into real-world products and systems.
- Ability to assess AI technologies and communicate their strengths, weaknesses, limitations, and business applicability.
- Strong stakeholder management and communication skills.
- Experience leading cross-functional teams and influencing technical strategy.
- Ability to balance innovation, experimentation, and practical delivery outcomes.
- Strong problem-solving skills and a passion for continuous learning and improvement.
- Experience mentoring engineers, researchers, and technical teams.
Tech Stack
- Python
- PyTorch
- Tensorflow
Benefits
- Fixed Shifts: 12:00 PM
- 9:30 PM IST (Summer) | 1:00 PM
- 10:30 PM IST (Winter)
- No Weekend Work: Real work-life balance, not just words
- Day 1 Benefits: Laptop and full medical insurance provided
- Support That Matters: Mentorship, community, and forums where ideas are shared
- True Belonging: A long-term career where your contributions are valued