Chief Technology Officer (CTO) - Artificial Intelligence (Mumbai)

Global Sports Entertainment and media; Mumbai; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Global Sports Entertainment and media seeks a seasoned technology leader to steer AI strategy, architecture, and product delivery across cloud, MLOps, and security.

You will guide Generative AI initiatives, LLMs, RAG, ML/NLP, and enterprise SaaS platforms, collaborating with founders to scale engineering excellence.

Candidates should have 10-15 years in software engineering and 5+ years in senior leadership, with deep AI/ML, cloud, microservices, and content tech experience.

Qualifications

• 10-15 years in software engineering with at least 5 years in senior technology leadership.
• Solid expertise in AI/ML, cloud architecture, microservices, DevOps, vector databases, enterprise SaaS, team leadership, and product scaling.
• Experience with content technology & infrastructure preferred.

Responsibilities

• Lead technology strategy, AI roadmap, engineering, product architecture, AI teams, cloud infrastructure, MLOps, security, and delivery of AI products.
• Drive innovation in Generative AI, LLMs, RAG, AI Agents, ML, NLP, and enterprise SaaS platforms.
• Collaborate with founders and business teams to scale technology and engineering excellence.

Skills

AI/ML expertise

Cloud architecture

Microservices

DevOps

Vector databases

Enterprise SaaS

Team leadership

Product scaling

Education

Bachelor's degree in CS/AI/ML

Master's degree in CS/AI/ML

Tools

Content technology & infra

Job description

/ Responsibilities

• Lead technology strategy, AI roadmap, engineering, product architecture, AI teams, cloud infrastructure, MLOps, security, and delivery of AI products.
• Drive innovation in Generative AI, LLMs, RAG, AI Agents, ML, NLP, and enterprise SaaS platforms.
• Collaborate with founders and business teams to scale technology and engineering excellence.

Desired profile of the candidate

• 10-15 years in software engineering with at least 5 years in senior technology leadership.
• Solid expertise in AI/ML, cloud architecture, microservices, DevOps, vector databases, enterprise SaaS, team leadership, and product scaling.
• Experience with content technology & infrastructure preferred.

Education qualification

Bachelor's/Master's in Computer Science, AI, Machine Learning or related field. .