We are a high-growth, AI/ML-first multinational company delivering real-world impact through advanced data science, intelligent automation, and scalable machine learning platforms. Operating across [X] countries with annual revenues exceeding $100 million, we empower enterprises to harness the full potential of artificial intelligence in industries ranging from healthcare and finance to manufacturing and logistics.
To lead our next phase of innovation and scale, we're seeking a visionary yet execution-focused Chief Technology Officer (CTO) to architect our global tech strategy and build world-class AI infrastructure.
As CTO, you will play a central role in shaping our AI and technology roadmap, scaling platforms that power intelligent decision-making, and leading engineering excellence across all product and infrastructure layers.
Key Responsibilities:
Define and execute a global AI/ML technology vision aligned with business goals
Lead architecture, infrastructure, and platform engineering for large-scale AI systems
Oversee development and deployment of production-grade ML models, pipelines, and MLOps frameworks
Drive adoption of cutting-edge technologies across deep learning, NLP, computer vision, and reinforcement learning
Collaborate with research, product, and engineering teams to deliver innovative and scalable AI solutions
Ensure enterprise-grade security, privacy, and compliance in all platforms and services
Build, lead, and scale globally distributed engineering, data science, and DevOps teams
Partner with the executive team to drive digital transformation and customer-focused innovation
Establish governance around responsible AI, model explainability, and ethical deployment
Manage technology budgets, partnerships, and strategic vendor relationships
12+ years in technology leadership, including 5+ years in AI/ML-focused roles and executive-level experience
Proven success scaling AI/ML platforms in fast-growing or global enterprise environments
Deep expertise in machine learning, data engineering, MLOps, and distributed systems
Hands-on experience with modern AI toolchains (e.g., TensorFlow, PyTorch, Ray, Kubeflow, MLFlow)
Strong grasp of cloud-native architectures (AWS, GCP, or Azure), APIs, and containerization
Knowledge of responsible AI practices, security, and compliance standards (e.g., GDPR, ISO 27001)
Excellent strategic thinking, communication, and technical leadership skills
Bachelor’s or Master’s in Computer Science, Machine Learning, or a related technical discipline (PhD is a plus)
Experience leading AI initiatives in regulated industries (e.g., healthcare, finance, government)
Familiarity with AI model lifecycle governance, explainability, and auditability frameworks
Certifications in cloud platforms, AI ethics, or advanced machine learning
Influence the future of AI innovation on a global scale
Lead and mentor top-tier talent in a high-impact, mission-driven environment
Competitive compensation, equity, and performance-based incentives
An executive culture rooted in curiosity, experimentation, and ethical AI
Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related technical field 12+ years of progressive experience in technology leadership roles, with 5+ years in executive-level positions (e.g., CTO, VP of Engineering, Head of AI/ML)
INR 75 LPA - 100 LPA