Staff Machine Learning Engineer

Company Description

Palmetto is a leading clean tech company on a mission to accelerate the transition to a clean energy future. With a belief that consumers can have it all we are an uncompromising energy company that makes coming clean a no brainer. Our award-winning technology platform empowers homeowners businesses and entrepreneurs to adopt renewable energy through simple scalable and innovative solutions. Operating at the intersection of B2B and D2C we offer software financial products and services that drive real environmental impactwithout compromising value. We deliver end-to-end solutions for whole home electrification that put clean energy within reach for all.

Our employees are our most valuable resource. We foster a promote-from-within culture that prioritizes talent development career growth and purpose-driven work. Palmetto offers a comprehensive benefits packageincluding unlimited PTO medical dental and vision coverage paid parental leave retirement plans and moreso you can have it all both personally and professionally. Palmetto prioritizes people planet and profitbacked by a culture that values collaboration impact and balance. Join us in building a brighter cleaner world.

Department Description

The Data and AI team sit within Palmettos Product Design and Engineering function and are responsible for the strategy infrastructure and rigor of data across the company. We build reporting models and products that drive impact through our business operational and engineering teams.

Location

This position will be based in Mexico City.

Reporting

This position will report to the VP of Data and AI

Summary of Role

Palmetto is seeking a Senior Machine Learning Engineer. As one of Palmettos first two Machine Learning Engineers you will play a foundational and strategic role in establishing a lean scalable and best-in-class machine learning practice. This role is the technical owner of the MLOps platform. You will be responsible for designing building and maintaining the core MLOps infrastructure and end-to-end ML pipelines enabling the engineering and data communities to reliably and efficiently deploy and manage models across the business. You will be responsible for mentoring model developers staying current with best practices and fostering a culture that embraces ML to improve all aspects of our business. This is a high-impact role that will directly contribute to Palmettos mission by integrating predictive intelligence into our products and operations.

Strategic & Tactical

• Lead the design and implementation of the core Machine Learning Platform (MLOPs) enabling a standardized transparent and scalable process for model development testing deployment and monitoring.
• Ensure seamless integration of the ML platform with Palmettos existing data platform with a focus on feature engineering and consumption.
• Architect the platform to support diverse model inference egress points including REST APIs batch inference and MCP.
• Evaluate and make build vs. buy decisions for ML platform components with a view towards value scalability and maintenance. Act as a technical thought leader creating the 2-3 year ML capability roadmap.
• Establish best practices and standards for model governance development version control testing and productionization to ensure a lean and reliable ML practice.
• Collaborate closely with Data Engineers Data Scientists and other ML Engineers to transition R&D models into scalable production-ready services.
• Proactively monitor the performance and data drift of deployed models implementing automated retraining and alerting mechanisms.

Qualifications

• Bachelors degree in Computer Science Engineering or a related quantitative field (or equivalent experience).
• 5 years of experience in Machine Learning Engineering Software Engineering or Data Science with a dedicated focus on building and scaling ML systems.
• Deep expertise in Python and proficiency in SQL Docker CI/CD and Infrastructure as Code; comfort working with a data engineering stack is a plus.
• Extensive hands-on experience architecting systems that use MLOps frameworks (e.g. Kubeflow MLflow Airflow) public cloud platforms (GCP preferred) and familiarity with statistical modeling toolkits (e.g. PyTorch XGBoost TensorFlow VertexAI).
• An exceptional blend of technical mathematical and product intuition with proven experience in end-to-end problem formulation from stakeholder requirement gathering through model iteration ending with production deployment.
• Strong written and spoken communication skills with the ability to effectively articulate complex technical concepts to both technical and non-technical audiences.
• Insatiable curiosity and love of learning.

Success Defined

• We deploy and operate an MLOps platform including automated deployment testing and monitoring within the first 6 months.
• We help analytical teams train and deploy models 50% faster than today.
• We drive demand for ML-oriented solutions from within the business and product teams.

Employment is contingent upon the successful completion of a background check.

Employment is contingent upon the successful completion of a background check.

Equal Employment Opportunity

Palmetto embraces diversity and is an Equal Employment Opportunity employer. Employment is decided on the basis of qualifications merit and business need. We do not discriminate based upon race religion color national origin gender sexual orientation gender identity gender expression age status as a protected veteran status as an individual with a disability or any other status protected under federal state or local law.

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Staff IC