Location: Bangalore; Bengaluru, Karnataka, India
Department: Machine Learning
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.
Design, build, and maintain scalable and reliable data pipelines for dataset creation, transformation, and benchmarking
Own and optimize Airflow pipelines on AWS for data processing, orchestration, and evaluation workflows
Write efficient, production-grade SQL and Python code for large-scale data processing and analysis
Partner closely with ML engineers to enable model training, evaluation, and benchmarking pipelines
Improve pipeline performance, reliability, and observability, ensuring high data quality in production
Build and maintain systems to support model performance tracking and data drift monitoring
Troubleshoot and resolve data issues across pipelines, ensuring minimal impact on ML workflows
Contribute to data architecture decisions and best practices across the platform
Collaborate cross-functionally with ML, platform, and data teams to support scalable ML infrastructure
3–5 years of experience in Data Engineering, Data Platforms, or related roles
Strong proficiency in Python and SQL with experience in production systems
Hands-on experience with AWS services (S3, EC2, SageMaker or similar)
Solid experience building and managing Airflow (or similar orchestration tools)
Strong understanding of data engineering fundamentals (ETL/ELT, data modeling, pipeline design)
Experience working with large-scale datasets and distributed data systems
Experience supporting ML workflows, datasets, or evaluation pipelines
Strong problem-solving skills and ability to work independently in a fast-paced environment
Experience with ML infrastructure, MLOps, or model evaluation workflows
Exposure to biometric systems or computer vision datasets
Familiarity with data quality frameworks, monitoring, and observability tools
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.
Jumio protects business against fraud through the power of AI and machine learning. Our mission is to make the internet a safer place.
From live job posts on CoreHRx, updated 21 Oct 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
