Senior AI/ML Engineer (On-Premise + Tabular Data)

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 a Senior AI/ML Engineer (On-Premise + Tabular Data).

• 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 AI/ML engineering experience.

Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.

• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Proven experience building and validating supervised learning models on large-scale tabular datasets.
• Demonstrated experience extracting predictive signals and performing feature engineering on raw transactional data.
• Track record of designing rigorous back-testing frameworks to verify model accuracy against historical project outcomes.
• Hands-on experience profiling, cleaning, and normalizing messy enterprise data within PostgreSQL environments.
• Solid background in deploying containerized models (Docker/ONNX) within on-premise or air-gapped infrastructures.
• Expertise in ensemble methods such as XGBoost, LightGBM, and CatBoost for high-stakes regression tasks.
• Adept at balancing CPU vs. GPU inference tradeoffs to optimize performance in private cloud environments.
• Well-versed in the architectural constraints of building AI systems without reliance on cloud-native services.
• Skilled at translating complex model outputs into actionable ROI and cost-estimation insights.
• Ability to work through new and difficult issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of applications.
• Forensic attention to detail.
• A positive mindset and a can-do attitude.

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• Experience working on Agile / Scrum teams.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
• 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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