Job Description
**AI Product Lead** — Computer Software / AI/ML Engineering (Senior)
- **Location:** Hyderabad
- **CTC:** ₹20.7 - ₹43.6 LPA
- **Experience required:** 9-15 years
- **Education:** MCA / B.Tech/BE (CS/IT)
- **Job type:** Contract
- **Posted on:** 10-Jul-2026
**What you'll work on:**
- Applying Debugging & Troubleshooting in day-to-day work within the AI/ML Engineering function
- Applying REST APIs in day-to-day work within the AI/ML Engineering function
- Applying Data Structures & Algorithms in day-to-day work within the AI/ML Engineering function
- Applying Agile/Scrum in day-to-day work within the AI/ML Engineering function
- Applying Unit Testing in day-to-day work within the AI/ML Engineering function
- Applying Database Management (SQL) in day-to-day work within the AI/ML Engineering function
- Applying System Design basics in day-to-day work within the AI/ML Engineering function
- Applying Software Development (Java/Python/C++) in day-to-day work within the AI/ML Engineering function
- Applying Version Control (Git) in day-to-day work within the AI/ML Engineering function
**What we're looking for:**
- Someone comfortable operating in a product engineering team shipping software used by real customers at scale
- Strong grip on the fundamentals of ai/ml engineering
- Ability to work contract out of Hyderabad
**A few more things:**
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
- The role blends planned, structured work with a fair share of ad-hoc problem solving as issues surface through the day.
- Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- The role blends planned, structured work with a fair share of ad-hoc problem solving as issues surface through the day.
We review applications on a rolling basis, so early applications are encouraged.
- **Location:** Hyderabad
- **CTC:** ₹20.7 - ₹43.6 LPA
- **Experience required:** 9-15 years
- **Education:** MCA / B.Tech/BE (CS/IT)
- **Job type:** Contract
- **Posted on:** 10-Jul-2026
**What you'll work on:**
- Applying Debugging & Troubleshooting in day-to-day work within the AI/ML Engineering function
- Applying REST APIs in day-to-day work within the AI/ML Engineering function
- Applying Data Structures & Algorithms in day-to-day work within the AI/ML Engineering function
- Applying Agile/Scrum in day-to-day work within the AI/ML Engineering function
- Applying Unit Testing in day-to-day work within the AI/ML Engineering function
- Applying Database Management (SQL) in day-to-day work within the AI/ML Engineering function
- Applying System Design basics in day-to-day work within the AI/ML Engineering function
- Applying Software Development (Java/Python/C++) in day-to-day work within the AI/ML Engineering function
- Applying Version Control (Git) in day-to-day work within the AI/ML Engineering function
**What we're looking for:**
- Someone comfortable operating in a product engineering team shipping software used by real customers at scale
- Strong grip on the fundamentals of ai/ml engineering
- Ability to work contract out of Hyderabad
**A few more things:**
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
- The role blends planned, structured work with a fair share of ad-hoc problem solving as issues surface through the day.
- Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- The role blends planned, structured work with a fair share of ad-hoc problem solving as issues surface through the day.
We review applications on a rolling basis, so early applications are encouraged.