AI Engineering Lead – Air Cargo Practice

Keka Technologies Private Limited; Town of Texas, Fort Worth (WI, TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Keka Technologies Private Limited is seeking an AI Engineering Lead for Air Cargo Practice to steer AI strategy and deployment across revenue management, dynamic pricing, demand forecasting, and optimization. The role blends AI leadership with software engineering, data science, and airline cargo domain expertise to deliver innovative products that boost airline revenue and capacity utilization.

You will define the AI roadmap, design and deploy AI and Generative/Agentic AI solutions, build

Qualifications

• Bachelor's or Master's degree in CS, AI, DS, OR, or related field.
• 8+ years in AI/ML, software engineering, or analytics.
• 3+ years leading AI/ML teams.

Responsibilities

• Define and execute the AI roadmap aligned with strategy.
• Design and deploy AI, ML, Generative AI, and Agentic AI solutions.
• Build scalable AI platforms, MLOps, and governance.
• Collaborate with product, engineering, commercial, and customer teams.
• Lead and mentor AI engineers and data scientists.
• Support customer engagements, product demonstrations, and thought leadership.

Skills

Python

Machine Learning

Deep Learning

Generative AI

Agentic AI

LLMs

Cloud platforms

Education

Bachelor's or Master's in CS/AI/DS/OR/Engineering

Tools

MLOps

Job description

AI Engineering Lead – Air Cargo Practice

8-15Years

Dallas, Pune, Hyderabad, Bangalore, Chennai + 1 locations

Full-Time

Position Summary

Lead the company's Artificial Intelligence strategy, development, and deployment of AI-powered solutions for air cargo revenue management, dynamic pricing, demand forecasting, and optimization. This role combines AI leadership, software engineering, data science, and airline cargo domain expertise to deliver innovative products that improve airline revenue, capacity utilization, and commercial decision-making.

Key Responsibilities

• Define and execute the AI roadmap aligned with company strategy and product vision.
• Design and deploy AI, Machine Learning, Generative AI, and Agentic AI solutions.
• Build scalable AI platforms, MLOps processes, and governance frameworks.
• Collaborate with product, engineering, commercial, and customer teams.
• Lead and mentor AI engineers and data scientists.
• Support customer engagements, product demonstrations, and thought leadership.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, Operations Research, Engineering, or related field.
• 8+ years of experience in AI/ML, software engineering, or advanced analytics.
• 3+ years leading AI, machine learning, or data science teams.
• Expertise in Python, Machine Learning, Deep Learning, Generative and Agentic AI, LLMs, optimization, and cloud platforms.
• Knowledge of revenue management, pricing, forecasting, or optimization systems.
• Air cargo, airline, logistics, or transportation industry experience preferred.

Success Measures

• Deliver AI-powered pricing and revenue optimization capabilities.
• Improve forecast accuracy and pricing effectiveness.
• Launch Agentic AI solutions that automate commercial decision-making.
• Establish scalable AI engineering practices and governance.
• Position the company as an industry leader in AI-driven air cargo revenue management.

Ideal Candidate

A hands-on AI leader who can bridge advanced technology and business value, capable of leading a group of Data Scientists, engaging with airline executives, and delivering innovative AI solutions that drive measurable revenue and profitability improvements.