Machine Learning Engineer

Summary

Join NobleAI, a company leveraging AI to revolutionize energy workflows and materials development, as a Machine Learning Engineer (MLOps). You will design, build, and maintain scalable MLOps architecture, collaborate with research and engineering teams, and provide engineering best practices to accelerate model deployments. This role requires expertise in machine learning, MLOps tools, cloud platforms, and software engineering. We offer competitive pay and benefits, including top-tier health coverage, generous PTO, remote work options, a 401(k) plan, equity, and performance-based bonuses.

Requirements

• MSc Degree in Computer Science or a related field
• Understanding of machine learning algorithms and techniques
• 3+ years of experience in building and deploying ML systems
• 3+ years of experience working with Python and MLOps tools, including Docker, Kubernetes, KubeFlow, TensorFlow, PyTorch, Sagemaker, MLFlow
• 2+ years of cloud experience (AWS or Azure ML Platforms)
• 3+ years of experience in Software Engineering practices such as version control, testing, DevOps (build pipelines, CI/CD), and Python package management
• Demonstrated ability to communicate complex technical details at a high level effectively

Responsibilities

• Design, build, and maintain scalable and resilient MLOPS architecture and code across our platform codebase, Kubernetes/KServe, AWS, and Azure
• Collaborate with Research Scientists and DevOps Engineers to deploy custom models on the platform or as independent services
• Help debug and resolve issues with model or service performance
• Provide oversight/guidance and templates for Research Scientists to self-serve ML deployments for non-production needs
• Deploy data assets and pipelines for model inference endpoints

Benefits

• Top tier health benefits coverage including medical, dental, vision, disability and life insurance
• Generous Paid Time Off & Holidays
• Remote workforce with access to co-working offices
• 401(k) plan with employer match
• Equity package
• Performance-based bonus plan
• Base Salary Range $140k - $180k per year, depending on experience and geographic location