Job Description
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
Join our talent network and connect with U.S. clients for flexible, project-based development work as a Senior MLOps Engineer.
Learn more about our Applicants Privacy Notice.
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.
Join our talent network and connect with U.S. clients for flexible, project-based development work as a Senior MLOps Engineer.
- You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
- 5+ years of professional experience as a Machine Learning Engineer.
- Advanced English is required.
- Successful completion of a four-year college degree is required.
- 2+ years of professional experience working with SQL.
- Meaningful experience using Python or R to conduct statistical analysis.
- 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 seamless training, testing, and deployment, reducing manual errors.
- 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 model versions to enable experimentation, debugging, and quick rollbacks.
- Troubleshooting: Address issues in production models to maintain reliability and performance.
- Technical Expertise: Skilled in deploying AI/ML models, particularly in AWS.
- Problem-Solving: Analyzes and enhances systems with innovative solutions.
- Strategic Thinking: Identifies business trends and drives impactful changes.
- Iteration Speed: Delivers thoughtful recommendations quickly, even amid uncertainty.
- Collaboration & Mentorship: Promotes teamwork and fosters growth in others.
- Clear Communication: Tailors messages effectively for diverse audiences.
- 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.
- 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
Learn more about our Applicants Privacy Notice.