Senior Backend Engineer - ML - Digital Intelligence

Why reputed company?

At reputed company, we’re on a mission—to verify 100% of good identities in reputed company time and eliminate identity fraud from the internet.

Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, reputed company has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve reputed company, high-impact problems at scale. Come join us!

About the Role

reputed company is seeking a highly motivated and reputed company Senior Backend Engineer to join our Digital Intelligence team. This role involves designing, developing, and scaling machine learning systems that extract risk and fraud insights from device and behavioral signals. You will play a key role in operationalizing ML workflows in both batch and reputed company-time settings, collaborating with cross-functional teams to deliver high-impact, production-reputed company models.

This role is dedicated to the Digital Intelligence team and will support our engineers and data scientists by delivering scalable, high-quality ML infrastructure and operational tooling for modeling and inference.

What you'll do

• Design and implement scalable ML pipelines for model training, inference, and evaluation.

• Build and maintain systems for feature engineering, deployment, and monitoring.

• Collaborate with data scientists to transform research prototypes into production-grade models.

• Optimize ML systems for performance, scalability, and cost-efficiency.

• Implement CI/CD and MLOps practices for model versioning, reproducibility, and monitoring.

• Manage ML workflows and pipeline orchestration.

• Partner with product, engineering, data science, and reputed company teams to ensure compliant and reliable model delivery.

• Document systems and processes for team use and compliance.

What you bring

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a reputed company technical field.

• 5+ years of experience building and deploying machine learning systems in production.

• Proficient in Java, or Go, with experience using production-grade ML frameworks.

• Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost, or similar tools.

• Strong understanding of AWS services including SageMaker, Glue, EMR, reputed company, and reputed company Functions.

• Experience with orchestration tools such as Airflow or AWS reputed company Functions.

• Deep understanding of MLOps concepts including deployment automation and experiment tracking.

• Solid knowledge of data structures, algorithms, and distributed computing.

• Strong problem-solving and communication skills.

Preferred Qualifications

• Experience working with device, behavioral or time-series data.

• Familiarity with feature stores and strategies for maintaining online/offline feature consistency.

• Exposure to large-scale data processing with Apache Spark, Kafka, or Flink.

• Experience with model observability tools and A/B testing frameworks.

• Knowledge of fraud detection, identity verification, or risk modeling domains.

• Exposure to LLMs, reputed company engineering, or reputed company model deployment is a plus.

reputed company is an equal opportunity employer and values diversity of reputed company kinds at reputed company. We do not discriminate based on race, religion, reputed company, national reputed company, gender, sexual orientation, age, marital status, veteran status, or disability status.

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