Machine Learning Operations (MLOps) Engineer

About The Company

K1X is a forward-thinking technology company dedicated to transforming the K-1 experience through innovative digital solutions. Our platform replaces traditional, legacy workflows with scalable, AI-driven automation and modern software that enhances efficiency and user experience. As we continue to expand our capabilities, particularly in machine learning, we are committed to building a robust ML platform that supports model development, deployment, and monitoring across our products. Our goal is to empower financial institutions and service providers with cutting-edge tools that streamline operations and deliver superior results.

About The Role

We are seeking an experienced Machine Learning Operations (MLOps) Engineer to join our fully remote team. In this pivotal role, you will be responsible for designing, building, and maintaining the infrastructure that enables our AI and machine learning initiatives. You will work at the intersection of software engineering, DevOps, and machine learning, ensuring our ML platform is reliable, scalable, and performant. Your expertise will facilitate efficient model training, deployment, and monitoring, supporting our mission to deliver innovative, scalable solutions to our clients. This hands-on role requires a proactive approach to developing pipelines, managing containerized environments, and implementing CI/CD strategies for seamless ML operations.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 5+ years of professional experience in software engineering, DevOps, or MLOps roles
• Proficiency in Python programming and building production‑grade systems
• Hands‑on experience with Docker, Kubernetes, and distributed systems
• Experience designing and maintaining CI/CD pipelines
• Familiarity with ML lifecycle management tools such as MLflow or similar
• Experience working with cloud-based data platforms like Snowflake
• Strong understanding of system design, APIs, microservices architecture

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• Proven debugging and troubleshooting skills across distributed systems
  
  

Responsibilities

• Design and develop scalable ML infrastructure supporting model training, evaluation, and deployment processes
• Develop and maintain containerized environments using Docker and Kubernetes
• Build and manage distributed training pipelines and orchestration workflows
• Implement and oversee ML lifecycle tools such as MLflow for experiment tracking and reproducibility
• Manage production inference systems, including NVIDIA Triton Inference Server
• Design low-latency, high-availability model serving architectures
• Implement CI/CD pipelines for ML model deployment, version control, and rollback strategies
• Build and maintain data pipelines integrated with Snowflake and related data systems
• Establish monitoring, logging, and alerting mechanisms for system health, model performance, and drift detection
• Collaborate closely with ML Engineers to enhance developer experience and accelerate project delivery
  
  

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Benefits

• Unlimited Vacation Policy and Sick Time
• Fully Remote Work Environment
• Comprehensive Healthcare Benefits and 401(k) Plan
• Paid Parental Leave
• Growing Startup Culture with Opportunities for Advancement
• Flexible Work Schedule and Autonomy
  
  

Equal Opportunity

K1X is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, or any other protected status. We encourage candidates from all backgrounds to apply and join our innovative team dedicated to transforming the digital K-1 experience.