AI Director / Director of Machine Learning (Remote, Full-Time) [AS256]

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.
• 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.

Nice to Have

• Experience within gaming, interactive entertainment, simulation, or real-time systems environments.
• Experience developing or deploying agentic AI systems and autonomous workflows.
• Familiarity with locally hosted AI models, fine-tuning strategies, and private AI infrastructure.
• Experience working with reinforcement learning, NLP, computer vision, or multimodal AI systems.
• Exposure to MLOps, model monitoring, and AI governance frameworks.
• Experience integrating AI solutions into production software products at scale.
• Knowledge of emerging AI development tools, coding assistants, and AI-driven engineering workflows.
• Experience building and scaling AI teams within high-growth or innovation-focused organisations.
• Passion for exploring emerging AI technologies and applying them to solve meaningful business and product challenges.

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