Machine Learning Engineer – MLOps

Position: Remote

Employment Type: Full-Time

About Us

We are an AI-focused organization working hand-in-hand with leading U.S. unicorns and major technology firms to design, launch, and scale robust machine learning systems. In this role, you’ll be the driving force behind deploying, automating, and optimizing ML solutions that support mission-critical products and services.

Your Responsibilities

• End-to-End Model Management: Take ownership of production ML models throughout their entire lifecycle, from endpoint setup to fine-tuning performance.
• Implement Best-in-Class MLOps: Design frameworks, CI/CD pipelines, and automation workflows that simplify deployment processes and minimize operational load.
• Develop and Maintain Data Pipelines: Build scalable pipelines for model training, inference, and feature engineering, integrating with feature stores and vector-based databases.
• Ensure Scalability and Efficiency: Architect systems that are both cost-efficient and capable of meeting evolving business and engineering demands.
• Create ML Platforms and Tooling: Deliver reproducible, unified platforms that speed up ML development while meeting compliance and reliability standards.
• Enhance Model Performance: Track and optimize metrics such as latency, cost, and model drift. Contribute to A/B experiments and iterative improvements.
• Work Across Teams: Partner with groups in personalization, search, recommendations, and other domains to seamlessly embed ML into core products.

What You Bring

• 3 or more years in ML engineering, MLOps, or managing ML systems at scale
• Mastery of model deployment, CI/CD processes, containerization tools (Docker/Kubernetes), and major cloud services (AWS, GCP, or Azure)
• Hands-on experience with MLflow, Kubeflow, Airflow, Terraform, and modern feature store solutions
• Proficiency in Python and scripting, with strong knowledge of system and data architecture
• Background in monitoring, testing, and optimizing live machine learning applications

Why Work With Us

• Address complex, high-impact challenges using state-of-the-art AI infrastructure
• Collaborate with top-tier professionals at pioneering startups and tech giants
• Operate remotely in a fast-paced, trust-oriented work culture
• Benefit from competitive pay, equity options, and ample career advancement opportunities

Be part of shaping the future of AI-driven solutions for some of the world’s most forward-thinking companies.