Machine Learning Engineer, Applied AI

SimplePractice

Machine Learning Engineer at SimplePractice developing AI-driven healthcare solutions. Collaborating across teams to create efficient workflows and impactful models in the health tech domain.

Posted 6/7/2026full-timeMexico City • 🇲🇽 MexicoMid-LevelSenior💰 MX$972,240 - MX$1,215,300 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Develop AI workflows, customize data pipelines, tune models, and engineer prompts to bring idea to prototype
Work with subject matter experts to set up evaluation for AI workflows, ensuring rigor, quality and safety of content output
Work with eng partners to integrate AI workflows into production
Build and configure AI performance monitoring with proper reporting and alerts
Optimize and maintain AI workflows for performance, reliability, and long-term scalability
Conduct exploratory data analysis to answer key questions and test assumptions. Design experiments and build prototypes for proof-of-concept.
Provide AI expert advice to product and eng partners in shaping product roadmap
Partner closely with software eng, product, data eng, ML platform teams to scope and plan in execution
Communicate timeline, milestones, findings w/ internal stakeholders
Guide less experienced team members, sharing knowledge on LLM workflows and AI/ML model lifecycle
Champion a culture of experimentation, continuous learning, and proactive problem-solving
Stay current with emerging ML tools and technologies, integrating new techniques that elevate our product capabilities

Requirements

What you’ll need

BS or above in Computer Science, Statistics or a related technical field
5+ years of experience in Machine Learning, with proven track record of bringing ideas to life, from prototype to productized features
Strong proficiency in Python and hands-on with advanced data analysis tools
Strong skills in data engineering and self-sufficient in data pipelines for the AI workflow
Experience with AWS (or other cloud platforms) for model deployment
Comfortable designing and evaluating LLM-driven workflows
Familiarity with retrieval pipelines and vector databases
Problem-oriented mindset with strong cross-disciplinary thinking and a bias toward simplicity and clarity in solving problems
Comfortable working with remote teams, using GitHub, Slack, Notion, and Zoom
Proficiency in English with strong communication and collaboration skill.

Benefits

Comp & perks

Privatized Medical, Dental & Vision Coverage
Work From Home stipend
Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
Monthly Meal Reimbursement
Holiday Bonus, 15-day Aguinaldo
Hybrid Work Schedule & Catered Lunch
A relocation bonus for candidates joining us from a different city
Employee Resource Groups (ERGs)

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Machine LearningPythondata analysisdata engineeringdata pipelinesLLM workflowsretrieval pipelinesvector databasesmodel deploymentexperimental design

Soft Skills

problem-oriented mindsetcross-disciplinary thinkingcommunicationcollaborationmentorshipproactive problem-solvingcontinuous learningteamworkadaptabilityorganizational skills