AI/ML Leader

About RMSI

RMSI’s AI-powered spatial intelligence solutions in mapping, asset integrity, network optimization, and climate risk modeling help organization coe enable operational autonomy, and drive sustainable growth.

With a workforce of over 6000 employees, RMSI stands as one of the largest employers in the geospatial industry and is consistently recognized as a top employer. Our operations include three state-of-the-art development centers in India and six fully owned international subsidiaries in the US, Canada, Australia, the UK, the Middle East, and Bahrain.

For more information about RMSI, please visit www.rmsi.com

Role

Lead the AI Center of Excellence (CoE) to foster innovation and excellence in AI-based solutions. This role requires a dynamic, visionary leader with deep technical expertise and a strong business acumen to deliver impactful AI-driven solutions across diverse domains.

Responsibilities

• Define and execute the AI strategy aligned with RMSI’s business goals and implement
• across business verticals.
• Lead the development and deployment of AI/ML models and solutions.
• Collaborate with cross-functional teams to integrate AI into existing solutions and services.
• Ensure scalability, performance, and business impact of AI solutions.
• Drive research and experimentation in machine learning, deep learning, computer vision, and predictive analytics.
• Establish best practices and governance frameworks for AI development and deployment.
• Collaborate with business leaders to understand needs and translate them into AI solutions.
• Present progress, insights, and recommendations to senior leadership and external stakeholders.
• Build and mentor a high-performing team of data scientists, ML engineers, and domain experts.
• Foster a culture of innovation, collaboration, and continuous learning.

Skills & Qualification

• B.Tech/M.Tech degree in Computer Science, Engineering, or a related field.
• 15+ years of overall experience, with at least 6 years in AI/ML, or data science roles.
• Proven experience in leading AI initiatives or Centers of Excellence in a corporate environment.
• Strong programming and ML toolkit knowledge (Python, TensorFlow, etc.)
• Strong knowledge of ML algorithms and OCR/NLP tools.
• Experience with cloud AI platforms (AWS, Azure, GCP) and modern ML frameworks (TensorFlow, PyTorch)
• Demonstrated success in developing and deploying AI solutions at scale.
• Excellent leadership, communication, and stakeholder management skills.
• Experience in client engagement and cross-functional collaboration.