Senior Mlops Engineer Latin America (Remote)

FullStack is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, and Stanford University build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

We’re Most Proud Of

• Offering life-changing career opportunities to talented software professionals across the Americas.
• Building highly-skilled software development teams for hundreds of the world’s greatest companies.
• Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
• Our 4.5-star rating on GlassDoor.
• Our client Net Promoter Score of 68, twice the industry average.

The Position

We’re Looking To Hire a Senior MLOps Engineer To Join Our Team. You’ll Work With Our Incredible Clients In One Of Two Ways

• Team Augmentation: You will integrate yourself directly into our client’s team and work alongside their existing designers and engineers on a daily basis.
• Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We Are 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.
• 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.

What We Offer

• Competitive pay in your local currency.
• 100% remote work.
• The ability to work with leading startups and Fortune 500 companies.
• English Classes.
• Ample opportunity for career advancement.
• Continuing education opportunities.
• Depending on your location other benefits may apply.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form, which can be provided upon request during our hiring and interview process.

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