Job Description
Data Science is hiring a Robotics Vision Engineer to take on a mid-level mandate with real ownership within Computer Vision, operating in a data science team building models that move from notebook to production. This is a role for someone who is expected to spend 3-5 years building credibility and, over time, own outcomes rather than just tasks.
The mandate centres on computer vision, and the person in this seat will be expected to bring depth in Data Visualization, Machine Learning Fundamentals, Python (Pandas/NumPy/Scikit-learn), Model Evaluation & Deployment, Deep Learning Basics, while also operating comfortably with ambiguity — you'll be given direction but expected to fill in the details yourself.
Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem. Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
On the qualifications side, we're looking at MCA / M.Tech/M.Sc. Data Science as a baseline, though what matters more at this level is a demonstrated track record rather than the credential itself.
The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
Standard benefits include health insurance, provident fund contributions, and paid time off in line with company policy.
This role is often a stepping stone into leadership tracks for candidates who show strong ownership early on.
The package includes group medical cover, performance-linked bonuses, and standard statutory benefits.
Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
The pace can be demanding during peak cycles, balanced by a genuinely supportive team that helps each other hit deadlines.
High performers in this role typically move into a broader or more senior position within 18-24 months.
Compensation for this position is ₹12.8 - ₹14.2 LPA, commensurate with experience, for a Full-Time engagement based out of Noida. We review applications on a rolling basis, so early applications are encouraged.
The mandate centres on computer vision, and the person in this seat will be expected to bring depth in Data Visualization, Machine Learning Fundamentals, Python (Pandas/NumPy/Scikit-learn), Model Evaluation & Deployment, Deep Learning Basics, while also operating comfortably with ambiguity — you'll be given direction but expected to fill in the details yourself.
Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem. Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
On the qualifications side, we're looking at MCA / M.Tech/M.Sc. Data Science as a baseline, though what matters more at this level is a demonstrated track record rather than the credential itself.
The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
Standard benefits include health insurance, provident fund contributions, and paid time off in line with company policy.
This role is often a stepping stone into leadership tracks for candidates who show strong ownership early on.
The package includes group medical cover, performance-linked bonuses, and standard statutory benefits.
Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
The pace can be demanding during peak cycles, balanced by a genuinely supportive team that helps each other hit deadlines.
High performers in this role typically move into a broader or more senior position within 18-24 months.
Compensation for this position is ₹12.8 - ₹14.2 LPA, commensurate with experience, for a Full-Time engagement based out of Noida. We review applications on a rolling basis, so early applications are encouraged.