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Jobs/AI Engineer Role/smart-working-solutions - AI Director / Director of Machine Learning (Remote, Full-Time) [AS256]
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smart-working-solutions - AI Director / Director of Machine Learning (Remote, Full-Time) [AS256]

Remote - India1w ago
RemoteDirectorAPACArtificial IntelligenceData AnalyticsAI EngineerDirector of EngineeringTeam LeadershipLearning & DevelopmentPythonC++MLOpsMentoringStakeholder ManagementGovernance

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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: • 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. • 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.

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.

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

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