MLOps Engineer - Remote - USA

About FullStack

FullStack is the most transparent IT talent network, connecting highly skilled individuals with top global companies and Silicon Valley startups for remote, on-demand projects. We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment. By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide.

We’re Most Proud Of

• Offering life-changing opportunities for talented software professionals across the Americas.
• Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
• Our 4.2-star rating on GlassDoor.
• Our client Net Promoter Score of 68, twice the industry average.
  
  

The Opportunity

Join our talent network and connect with U.S. clients for flexible, project-based development work as an MLOps.

• You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis
  
  

What We're Looking For

• 5 years of professional experience as a Machine Learning Engineer.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Proven experience in implementing and managing CI/CD pipelines for ML workflows, including model training, testing, and deployment.
• Pipeline Deployment & Maintenance: Ensure daily batch predictions with efficient, error-free pipelines for ML models.
• CI/CD for ML Models: Automate ML workflows for training, testing, and deployment using CI/CD tools (GitLab CI, Jenkins, CircleCI) and containerization with Docker and Kubernetes to enhance scalability.
• Production Monitoring: Monitor and log model performance to detect decay and ensure service quality.
• Workflow Optimization: Build scalable, robust solutions for large datasets and high production loads.
• Model Versioning & Rollback: Manage versions, monitor performance, and enable rollbacks through CI/CD pipelines for seamless deployment.
• Troubleshooting: Address issues in production models to maintain reliability and performance.
• Technical Expertise: Skilled in deploying AI/ML models on cloud platforms like AWS, GCP, or Azure, with proficiency in MLOps tools such as Kubeflow, MLflow, SageMaker, and Vertex AI.
• Problem-Solving: Analyzes and enhances systems with innovative solutions.
• Data and Model Handling: Expertise in data versioning, feature stores, and model lifecycle management to ensure streamlined processes and reliability.
• Communication Skills: Strong written and verbal communication skills, enabling effective collaboration across diverse teams and stakeholders.
• Experience working on Agile / Scrum teams.
• Forensic attention to detail.
• A positive mindset and a can-do attitude.
• Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
• Ability to consistently work 40 hours per week.
  
  

What We Offer

• Competitive pay.
• 100% remote work.
• The ability to work with leading startups and Fortune 500 companies.
• Continuing education opportunities
• Opportunity to grow and expand your career
  
  

Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration.

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