Data Engineer - II (Biometrics)
Jumio is hiring a Data Engineer - II (Biometrics) in Bengaluru, India. Level rates it ; you can apply on Jumio.
Level's read on this job
- Builds AI ●●●● is how Level rates this data engineer role: the job is building AI systems.
- The posting mentions SageMaker, MLOps and AI evaluation among its tools and skills.
- Level classes it as a mid-level role.
- Jumio has 17 other open roles on Level.
AI in this role
Role Purpose
At Jumio, we’re building trusted identity solutions powered by machine learning and biometrics. As a Data Engineer II, you will take ownership of designing, building, and scaling data pipelines that power our ML systems. You’ll work closely with ML engineers, platform teams, and product stakeholders to enable robust dataset creation, benchmarking, and production-grade data workflows on AWS.
What You’ll Do
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Design, build, and maintain scalable and reliable data pipelines for dataset creation, transformation, and benchmarking
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Own and optimize Airflow pipelines on AWS for data processing, orchestration, and evaluation workflows
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Write efficient, production-grade SQL and Python code for large-scale data processing and analysis
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Partner closely with ML engineers to enable model training, evaluation, and benchmarking pipelines
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Improve pipeline performance, reliability, and observability, ensuring high data quality in production
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Build and maintain systems to support model performance tracking and data drift monitoring
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Troubleshoot and resolve data issues across pipelines, ensuring minimal impact on ML workflows
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Contribute to data architecture decisions and best practices across the platform
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Collaborate cross-functionally with ML, platform, and data teams to support scalable ML infrastructure
What We’re Looking For
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3–5 years of experience in Data Engineering, Data Platforms, or related roles
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Strong proficiency in Python and SQL with experience in production systems
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Hands-on experience with AWS services (S3, EC2, SageMaker or similar)
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Solid experience building and managing Airflow (or similar orchestration tools)
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Strong understanding of data engineering fundamentals (ETL/ELT, data modeling, pipeline design)
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Experience working with large-scale datasets and distributed data systems
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Experience supporting ML workflows, datasets, or evaluation pipelines
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Strong problem-solving skills and ability to work independently in a fast-paced environment
Nice to Have
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Experience with ML infrastructure, MLOps, or model evaluation workflows
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Exposure to biometric systems or computer vision datasets
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Familiarity with data quality frameworks, monitoring, and observability tools
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Experience working in SaaS or high-scale production environments
Jumio Values:
IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation
Equal Opportunities:
Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.
About Jumio:
Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders.
Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.
Applicant Data Privacy
We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.
How we rate this
Data Engineer - II (Biometrics) at Jumio rates 94 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- How do you decide that one model's output is better than another's for a given task?
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- What's a project where you used SageMaker hands-on?
- How would you decide a model or AI system is ready to ship?
Adapt your resume
- List these exact terms on your resume: ML Ops, AI Evaluation, Computer vision, and SageMaker. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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