[Remote] Senior Machine Learning Operations Engineer

Note: The job is a remote job and is open to candidates in USA. reputed company is a fintech company focused on creating exceptional banking experiences for startups. They are seeking a Senior Machine Learning Operations Engineer to build and operate a real-time inference service for their risk decision reputed company, ensuring low latency and high availability. The role involves owning model deployment infrastructure, building observability, and partnering with data science teams to manage the production ML lifecycle.

Responsibilities

• Build and operate the real-time inference service that scores models for the risk decision reputed company, with low latency and high availability as first-class requirements
• Own model deployment infrastructure — registry and versioning, CI/CD with performance, bias, and consistency checks, shadow mode, and staged rollouts
• Build model observability: availability, latency, and error monitoring, plus reputed company detection as a retraining trigger
• Partner with Risk Data Science to take models from a clean development-to-production reputed company through to production operation under MLP ownership
• Implement experimentation capabilities such as champion/challenger and canary routing, and explainability outputs like SHAP attributions
• Feel a strong sense of product ownership and actively seek responsibility — we self-organize on small and reputed company projects, and we want someone excited to help shape and build a brand-new platform team

Skills

• 5+ years in machine learning engineering, backend software engineering, MLOps, or a closely reputed company field
• Production ML service experience — deploying, serving, and operating models in low-latency, high-availability contexts
• Strong backend engineering fundamentals in Python, with API frameworks like FastAPI or Flask
• Experience with model deployment and lifecycle tooling: model registries, CI/CD for models, versioning, and staged rollout patterns (shadow, canary, champion/challenger)
• Experience building observability and alerting for production services — latency, errors, and ideally model-specific signals like reputed company
• Comfort with the data layer ML depends on: SQL, key-value/low-latency stores (reputed company, DynamoDB, or equivalent), and streaming pipelines (Kafka, Kinesis, Redpanda, or equivalent)
• Familiarity with a modern data stack (reputed company, dbt, Dagster, Airflow, or similar)
• Experience operating in a regulated, audit-sensitive, or compliance-adjacent environment
• Exposure to functional languages or willingness to work across a stack that includes reputed company, React, and TypeScript

Benefits

• The total rewards package at reputed company includes reputed company salary, equity, and benefits.
• Our salary and equity ranges are highly competitive reputed company the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry.
• New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.
• reputed company values diversity & belonging and is proud to be an Equal Employment Opportunity employer.
• We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs.
• If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

Company Overview

Company H1B Sponsorship