Machine Learning Engineer (Databricks + MLOps)

fullstack • Guatemala
Remote
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AI Summary

Join our talent network as a Machine Learning Engineer to work on project-based development projects with top global companies. You will integrate directly into client teams and work alongside designers and engineers. This role requires 4+ years of experience with Databricks, MLOps, and strong proficiency in Python, SQL, and Spark.

Key Highlights
Machine Learning Engineer
Databricks
MLOps
Python
SQL
Spark
Key Responsibilities
Integrate directly into client teams
Work alongside designers and engineers
Drive clarity from requirements and take ownership of end-to-end delivery
Technical Skills Required
Databricks MLOps Python SQL Spark
Benefits & Perks
Competitive pay
100% remote work
Continuing education opportunities

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

  • 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 Machine Learning Engineer (Databricks + 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

  • 4+ years of professional experience as a Machine Learning Engineer, or similar role.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Strong hands-on experience with Databricks (Workflows, Delta Lake, MLflow).
  • Experience deploying models to Databricks Model Serving, REST APIs, or external endpoints.
  • Proven experience with MLOps and model lifecycle management.
  • Experience with production support and monitoring of ML systems.
  • Strong proficiency in Python, SQL, and Spark.
  • Solid understanding of CI/CD tools (e.g., Databricks Asset Bundles, Jenkins).
  • Strong knowledge of data structures and algorithms.
  • Familiarity with shell scripting in Linux-based environments (Preferred).
  • Ability to drive clarity from requirements and take ownership of end-to-end delivery.
  • Team player with the ability to collaborate in a fast-paced, intellectually challenging environment.
  • 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.
  • Experience working on Agile / Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership of 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.

Learn more about our Applicants Privacy Notice.

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