Job Description
**Computer Vision Integration Associate** | Ahmedabad | Full-time | INR 4.8-19.1 LPA
**About the role:**
- Position within Computer Vision, under the Machine Learning vertical
- Level: junior level
- Reports to the functional head for Computer Vision
**What you'll do:**
- Handle core computer vision activities on a day-to-day basis
- Use Feature Engineering regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Feature Engineering
- Computer Vision
- TensorFlow/PyTorch
- Deep Learning
- Computer Vision/NLP Basics
- Python
- M.Tech (Machine Learning)
- 1+ years of relevant experience
**Good to know:**
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
- Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
- The organisation has historically promoted from within for a majority of its senior and lead openings. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
- The package is structured with a fixed component, performance bonus, and standard health coverage. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
**About the role:**
- Position within Computer Vision, under the Machine Learning vertical
- Level: junior level
- Reports to the functional head for Computer Vision
**What you'll do:**
- Handle core computer vision activities on a day-to-day basis
- Use Feature Engineering regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Feature Engineering
- Computer Vision
- TensorFlow/PyTorch
- Deep Learning
- Computer Vision/NLP Basics
- Python
- M.Tech (Machine Learning)
- 1+ years of relevant experience
**Good to know:**
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
- Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
- The organisation has historically promoted from within for a majority of its senior and lead openings. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
- The package is structured with a fixed component, performance bonus, and standard health coverage. There is a defined internal mobility path for people who want to specialise deeper or move into people management.