machine-learning-engineer

SimplePractice is an all-in-one practice management software platform tailored for behavioral health professionals. It simplifies administrative tasks, ranging from scheduling and billing to documentation, and enhances client care through integrated telehealth, insurance tools, and a vast template library. Trusted by over 200,000 practitioners, SimplePractice is designed for therapists, speech-language pathologists, occupational therapists, and psychiatrists, among others. It aims to streamline admin work and improve care management for practitioners, ultimately facilitating better client interactions and practice growth.

Join over 200,000 Health and Wellness professionals in growing their private practice with SimplePractice. The only practice management software that allows you to go fully virtual, in-office, or anywhere in-between. Integrated with telehealth, online booking, paperless intakes, and more.

SimplePractice

• 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
• Start with the Job-to-be-done, dive deep into the domain and understand the problem from user perspective
• Decompose problems into conquerable pieces. Design solutions to address each with cross-disciplinary thinking and big picture in mind.
• Conduct exploratory data analysis to answer key questions and test assumptions. Design experiments and build prototypes for proof-of-concept.
• Build artifacts to illustrate the findings with rigor and how they inform the roadmap and decisions
• 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
• Look for creative ways to leverage data to make clinicians’ lives easier, more efficient, and more effective

Machine Learning Engineer, Applied AI

Machine Learning Engineer empowering clinicians through data-driven innovations at SimplePractice. Building AI workflows and optimizing models for effective patient care delivery with a hybrid work approach.

Minor Hotels Europe and Americas is a hospitality company that operates a diverse portfolio of hotels and resorts across Europe and the Americas. The company focuses on delivering exceptional guest experiences through high-quality service and unique accommodations, catering to both leisure and business travelers.

Welcome to Minor Hotels Europe & Americas, formerly NH Hotel Group. Minor Hotels is a global hospitality leader with a global network of more than 550 hotels across six continents. We drive growth through eight diverse hotel brands – Anantara, Avani, Elewana, Oaks, NH, NH Collection, nhow and Tivoli – and a portfolio of related hospitality businesses. Perpetually driven by an entrepreneurial spirit, Minor creates better brands, businesses and partnerships by always focusing on what matters most to our guests, our team members and our partners.

Minor Hotels Europe and Americas

• Diseñar, implementar y optimizar la infraestructura y procesos necesarios para el ciclo de vida completo de modelos de Machine Learning
• Asegurando su despliegue, monitoreo y mantenimiento en entornos productivos de manera eficiente y escalable
• Definir y construir pipelines de CI/CD para modelos de Machine Learning
• Automatizar procesos de entrenamiento, validación y despliegue de modelos
• Integrar herramientas de versionado de datos y modelos (DVC, MLflow)
• Implementar prácticas de monitoreo y retraining para modelos en producción
• Garantizar la seguridad, gobernanza y cumplimiento normativo en el ciclo de vida de ML
• Colaborar con equipos de Data Science, DevOps y Arquitectura para optimizar flujo

Consultor MLOps

MLOps Consultant designing and optimizing machine learning model infrastructure for Capgemini. Collaborating with diverse teams to ensure efficient deployment and monitoring of ML models.

Workana is a leading platform in Latin America that connects businesses with remote talent across various disciplines. With over a decade in the market, Workana specializes in providing businesses with pre-selected and certified developers and freelancers for specific time periods or project-based tasks. The platform supports hiring in diverse fields such as IT & Programming, Design & Multimedia, Writing & Translation, and more, offering payment flexibility in local currencies or USD. Workana ensures satisfaction with protected payments and a satisfaction guarantee, aiming to grow businesses quickly and sustainably by leveraging the best remote talent available.

With +10 years in the market, Workana is the largest remote work platform for hiring top talent in Latin America.
We match great talent with exciting opportunities and we love doing it. 

We believe remote work promotes equal and unprecedented growth opportunities for both companies and talent. We are proud to contribute to this new way of working by connecting freelancers to unique projects and by matching certified developers with long-term roles.

More than 600,000 companies find talent on Workana to move their professional projects forward. Meanwhile, we are helping more than 3 million freelancers develop their professional careers independently.

Talent is at the core of what we do.
Learn more at www.workana.com


Workana

• Monitorear drift, performance y estabilidad de modelos de ML en producción.
• Gestionar el deploy, versionamiento y gobernanza de modelos.
• Automatizar retraining, scheduling y pipelines de inferencia.
• Diseñar y mantener feature stores para equipos de Data Science y Analytics.
• Documentar procesos de reproducibilidad, auditoría técnica y validación de modelos.
• Asegurar una infraestructura de ML robusta, resiliente y escalable.
• Colaborar con áreas técnicas y de negocio en la implementación de mejoras continuas.

MLOps, ML Engineer

MLOps / ML Engineer role with a fintech company focusing on operations, scalability, and governance of ML models. Collaborate with Data Science and Engineering teams in a hybrid environment.

Machine Learning Engineer developing AI workflows for healthcare tech company. Collaborating on product features and data-driven innovations to improve clinician efficiency and care quality.

• Develop & Deploy ML Platform
• Build end to end solutions to ensure consistent tooling and governance for LLM/AI feature development
• Ability to design well-structured and performant RESTful APIs, including defining clear endpoints, request/response formats, and error handling.
• Work closely with Engineering, and other internal stakeholders of ML platform to develop platform roadmap
• Properly communicate timeline, milestones, and progress w/ internal stakeholders
• Drive stakeholder engagement, enablement and education to ensure the platform is well integrated into AI dev workflow
• Guide less experienced team members, sharing knowledge on model development, MLOps, and data engineering
• 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
• Look for creative ways to leverage data to make clinicians’ lives easier, more efficient, and more effective

Machine Learning Engineer, Platform

Machine Learning Engineer building tools and systems for AI engineers at SimplePractice. Focused on creative problem-solving and hands-on technical work in healthcare tech.

• Develop & Deploy ML Platform
• Build end to end solutions to ensure consistent tooling and governance for LLM/AI feature development
• Ability to design well-structured and performant RESTful APIs, including defining clear endpoints, request/response formats, and error handling.
• Work closely with Engineering and other internal stakeholders of ML platform to develop platform roadmap
• Properly communicate timeline, milestones, and progress w/ internal stakeholders
• Drive stakeholder engagement, enablement and education to ensure the platform is well integrated into AI dev workflow
• Guide less experienced team members, sharing knowledge on model development, MLOps, and data engineering
• 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
• Look for creative ways to leverage data to make clinicians’ lives easier, more efficient, and more effective

Senior Machine Learning Engineer, Platform

Senior Machine Learning Engineer building tools for AI engineers at SimplePractice. Focused on enhancing clinician experiences through data-driven innovations and collaboration.

Neostella is a company offering a comprehensive suite of legal products and services designed to enhance efficiency and elevate client service. It also provides nearshore talent solutions to boost productivity and scale businesses, as well as a Salesforce-native workflow management application aimed at improving productivity and customer experience. Additionally, Neostella offers custom services including development, consulting, and staffing solutions tailored to various business needs. With a focus on automation, Neostella aims to eliminate busy work and improve accuracy and speed, thereby increasing productivity and morale. Their services are located in Milwaukee, Wisconsin and are backed by cutting-edge technology and a strong team of technology partners.

Neostella is a global enterprise software and solutions company that empowers organizations with the technology resources they need to exceed goals and push the boundaries of what is possible. Offerings include Legal Solutions, Work-Relay process and workflow solutions for Salesforce, Robotic Process Automation, and Application Integration. In addition to technology solutions, Neostella provides a wide range of professional services designed to help customers reap maximum ROI from their technology investments. With offices in four countries around the globe, the Neostella team is committed to providing exceptional customer support 24/7.

Neostella

- Implement, train, and maintain machine learning models that drive our products and services.
- Work with software developers to ensure seamless integration of machine learning models.
- Optimize machine learning algorithms for performance and scalability.
- Conduct research and stay up-to-date with the latest developments in machine learning techniques, tools, and frameworks.
- Develop tools and processes to automate machine learning workflows.
- Collaborate with cross-functional teams to improve product features.
- Perform analytics, visualization and reporting related to machine learning projects.


Machine Learning Engineer

Machine Learning Engineer responsible for implementing machine learning models for Neostella's legal tech solutions. Collaborating with developers to integrate algorithms and optimize workflows.

Hybrid ML Engineers roles in Mexico

Browse 7 hybrid ml engineers roles hiring in Mexico plus related opportunities such as llm engineer, nlp engineer, computer vision engineer, ai engineer and ai research scientist.

7 jobs found

Machine Learning Engineer, Applied AI

SimplePractice

Consultor MLOps

Minor Hotels Europe and Americas

MLOps, ML Engineer

Workana

Machine Learning Engineer, Applied AI

SimplePractice

Machine Learning Engineer, Platform

SimplePractice

Senior Machine Learning Engineer, Platform

SimplePractice

Machine Learning Engineer

Neostella