Data Science

Cars24; Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Cars24 is seeking a results-oriented ML engineer to tackle end-to-end business problems with large datasets. You will design and deploy ML-powered solutions, including routing, pricing feedback loops, and inventory matching engines, while collaborating with senior leaders on high-priority projects.

The role requires comfort with ambiguity and the ability to translate business needs into scalable technical solutions, with a focus on reliable, scalable systems that move the business toward

Qualifications

• Experience building machine learning systems that solve real business problems.
• Ability to work with large datasets and translate business requirements into technical solutions.
• Comfort with ambiguity and the ability to define problems before solving them.
• Strong communication skills to explain technical work to non-technical stakeholders.

Responsibilities

• Solve operational problems related to routing, rostering, slot design, and field capacity to streamline business processes.
• Build pricing systems with feedback loops that improve their accuracy and effectiveness continuously.
• Create recommendation and ranking engines that connect car buyers with suitable inventory.
• Architect AI agents capable of managing tasks such as triage, scheduling, negotiation, quality control, and exception handling to move the business toward autonomous operations.
• Partner with senior leadership and experienced colleagues on high-priority challenges.
• Take full ownership of complex problems from conception through deployment to production.
• Redesign how the business operates and measure the business results of your work.
• Build and operate business systems at scale, learning what it takes to make them work reliably.

Skills

Machine learning

Data handling

Ambiguity management

Communication skills

Job description

Batch: 2020/2021/2022/2023/2024/2025/2026.

About the role

• Solve operational problems related to routing, rostering, slot design, and field capacity to streamline business processes.
• Build pricing systems with feedback loops that improve their accuracy and effectiveness continuously.
• Create recommendation and ranking engines that connect car buyers with suitable inventory.
• Architect AI agents capable of managing tasks such as triage, scheduling, negotiation, quality control, and exception handling to move the business toward autonomous operations.

What you'll work on

• Partner with senior leadership and experienced colleagues on high-priority challenges.
• Take full ownership of complex problems from conception through deployment to production.
• Redesign how the business operates and measure the business results of your work.
• Build and operate business systems at scale, learning what it takes to make them work reliably.

How we operate

• Decisions are made by the strength of the idea, not hierarchy or tenure.
• You have the authority to test new approaches without needing approval first.
• The team learns from every attempt, including failures, and uses those lessons to improve the next iteration.

What you'll bring

• Experience building machine learning systems that solve real business problems.
• Ability to work with large datasets and translate business requirements into technical solutions.
• Comfort with ambiguity and the ability to define problems before solving them.
• Strong communication skills to explain technical work to non-technical stakeholders.