Data Operations Lead
1 week ago
We are seeking a passionate and experienced Data Operations Manager to lead our AI / ML / Computer Vision data workflows.
This is a full-time hybrid role based in Bangalore, with flexibility for partial work from home.
You will oversee end-to-end data operations, manage a growing team, and drive process efficiency across annotation, deployment, and data quality initiatives.
The role demands both leadership and hands-on technical skills in Python, SQL, and cloud data infrastructure (AWS).
Key Responsibilities
- Team Leadership:
- Lead, mentor, and manage a small team responsible for deployments, investigations, and dataset integrity.
- Data Operations Management:
- Oversee daily data workflows, ensuring accuracy, timeliness, and quality in all operations.
- Investigation & Debugging:
- Own the investigation lifecycle — plan and execute deployments, troubleshoot data or model performance issues, and ensure root cause resolution.
- Process Optimization:
- Continuously improve operational processes, documentation, and internal tooling to ensure scalability and repeatability.
- Metrics & Reporting:
- Define and track key metrics to measure deployment performance, data quality, and investigation impact over time.
- Cross-Functional Collaboration:
- Partner closely with Computer Vision engineers, annotation vendors, and customer-facing teams to ensure operational alignment.
- Vendor Management:
- Manage external annotation workforces, ensuring adherence to timelines and quality standards.
Desired Skills & Experience
- Minimum 3 years of experience working with data operations in AI / ML / Computer Vision environments.
- Prior leadership experience, formally or informally leading teams or initiatives.
- Strong hands-on experience with:
- Python: scripting, data processing, and automation.
- SQL: metrics tracking, data validation, and dashboarding.
- AWS: services like S3, Batch, and Lambda for managing data infrastructure.
- Voxel51 / FiftyOne or equivalent tools for dataset exploration and quality assurance.
- Experience in vendor coordination (especially with data labeling or annotation teams).
- Familiarity with data privacy and compliance frameworks (GDPR experience is a strong plus).
- Proven ability to thrive in fast-paced, start-up or ambiguous environments.
What We Offer
- Hybrid work model with flexibility and ownership.
- Opportunity to build and lead impactful AI data workflows.
- Exposure to cutting-edge AI and Computer Vision technologies.
- Growth-oriented and collaborative work culture.
Location:
Bangalore, India (Hybrid)
Employment Type:
Full-time
Experience Level:
3-5 Years
Hiring #DataOperations #AIJobs #ComputerVision #MachineLearning #MLOps #Python #SQL #AWS #DataAnnotation #OperationsManager #BangaloreJobs #HybridJobsJob Types: Full-time, Permanent
Pay: Up to ₹1,800,000.00 per year
Benefits:
- Cell phone reimbursement
- Commuter assistance
- Flexible schedule
- Food provided
- Health insurance
- Internet reimbursement
- Leave encashment
- Life insurance
- Paid sick time
- Paid time off
- Provident Fund
- Work from home
Application Question(s):
- Are you ready to join in Next 30 days ?
- We are looking for people with maximum exp of 4 years only
- We are looking for male candiates only below 35 years old
- Are you comfortable working in a hybrid setting?
Experience:
- Python: 3 years (Required)
- AWS: 3 years (Required)
- Voxel51 / FiftyOne or equivalent tools: 3 years (Required)
Shift availability:
- Day Shift (Required)
Work Location: In person
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