20 publicaciones de empleo destacadas de machine learning platform engineer en centro (área 9) cdmx (¡Están contratando!)

Data Scientist - Life Sciences AI / ML
Zifo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Doctorado
- Inglés
- Maestría
Postulación rápida
Forward Deployed Engineer Intern
Arkham Technologies —Ciudad de México, CDMX
- Trabajo híbrido
- Informática
- SQL
- Python
Postulación rápida
Research Analyst - Oil Supply
WM de Mexico, S. de R.L. de C.V. —Los Alpes, CDMX
- Tiempo completo
- Microsoft Excel
- Administración de personal
- Inglés
Postulación rápida
Ingeniero de Datos Senior – GCP
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $60,000 a $90,000 por mes
- Tiempo completo
- Azure
- Oracle
- DevOps
Postulación rápida
1d
Manager, Commercial Performance Analytics.
Pfizer —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Maestría
- Experiencia en bases de datos
Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)
Google —Ciudad de México, CDMX
- Administración de personal
- Doctorado
- Informática
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Preparación de alimentos
- Java
Data Scientist Sr 2830
Xideral —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Doctorado
- Inglés
Postulación rápida
AI / ML Engineer
Solventum —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Inglés
AI Engineer
Darwin AI —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- Python
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Cement Solution Manager
Imubit —Ciudad de México, CDMX
- Home Office (Desde casa)
- Maestría
- Licenciatura
- Sin título de educación superior
11d
Data & Analytics Specialist
Ford Motor Company —Naucalpan, Méx.
- Informática
- SQL
- Licenciatura
Senior AI Application Engineer
Qualcomm —Ciudad de México, CDMX
- Doctorado
- Informática
- Java
AI Business Operations Analyst - Mexico City (Hybrid)
Clara —Ciudad de México, CDMX
- Salesforce
- Inglés
- SQL
Premier Success Manager
Extreme Networks —Ciudad de México, CDMX
- $800,000 a $1,059,000 por año
- Incluye fines de semana
- Home Office (Desde casa)
- Administración de personal
- Informática
- Experiencia en ventas
- Plan de adquisición de acciones empresariales
- Seguro dental
Postulación rápida
software engineer I
EVO Payments Mexico, S. de R.L. de C.V. —Cuajimalpa, CDMX
- Oracle
- Informática
- DevOps
Postulación rápida
Sr Data Engineer - Music DISCO, Music DISCO
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Java
- SQL
- JavaScript
Senior Software Engineer
Umba —Ciudad de México, CDMX
- DevOps
- Java
- JavaScript
Postulación rápida
Senior Data Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- Python
Postulación rápida
Senior Full Stack Engineer – Lab Connect
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- Experiencia en bases de datos

Quiero recibir la alerta de empleo más reciente para machine learning platform engineer en centro (área 9) cdmx

Al ingresar a tu cuenta, aceptas las Condiciones del servicio de SimplyHired y das tu consentimiento a nuestra Política de privacidad y Cookies.

Explorar empleos en más ubicaciones

machine learning platform engineer jobs near centro (área 9) cdmx

Empleos de Data Engineer en Ciudad De México, CDMX

Empleos de Data Engineer en Jalisco

Empleos de Data Engineer en Guadalajara, JAL.

Empleos de Devops Engineer en Ciudad De México

Empleos de Data Engineer en Nuevo León

Empleos de Data Engineer en Desde Casa

Empleos de Data Analyst en Mérida, YUC.

Empleos de Data Scientist en Santiago Teyahualco, Méx.

Empleos de Data en Mérida, YUC.

Empleos de Data Scientist en Puebla

Empleos de Data Science en Querétaro, QRO.

Empleos de Prácticas Data en Monterrey, N. L.

Empleos de Operations Analyst en Ciudad De México

Empleos de Operations Analyst en Tijuana, B.c.

Empleos de Operations Analyst en Nuevo León

Empleos de Quality Engineer en Guadalajara, JAL.

Empleos de Automation Engineer en Querétaro, QRO.

Empleos de Full Stack Developer en Ciudad Juárez, Chih.

Empleos de Full Stack Developer en Guadalajara, JAL.

Empleos de Full Stack Developer en Tijuana, B.c.

Data Scientist - Life Sciences AI / ML

Zifo
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

Estadísticas
Derecho
Doctorado
Ingeniería de software
Plurilingüe
Git
Inglés
Maestría
Pandas
Docker
PostgreSQL
Control de calidad
Desarrollo de software
Experiencia en manufactura
Liderazgo
Python

Descripción completa del empleo

Location, Mexico City, Mexico

**This role will require regular presence (2-3 times / week) at our office in Mexico City,**

We are looking for a Data Scientist who brings strong hands-on experience applying machine learning, statistical modeling, and optimization techniques to real-world problems — preferably in life sciences, pharma, biotech, or regulated manufacturing environments.

You will work directly with clients, embedded in their scientific and technical teams, owning the full delivery lifecycle: from understanding the problem and acquiring data, through modeling and validation, to deployment and monitoring. You will also contribute to Zifo's internal AI/ML practice, helping shape how we deliver data science across the region.

This is a high-impact, client-facing individual contributor role. The right candidate combines computational rigor with the communication and consulting skills needed to earn trust with technical and non-technical stakeholders alike.

What You Will Do

Model development: Design, train, and tune machine learning models (supervised and unsupervised) and statistical algorithms to solve client challenges — including anomaly detection, process optimization, batch scheduling, and quality control.
Optimization: Apply constrained optimization, combinatorial methods, and Monte Carlo simulations to complex operational and manufacturing problems.

Data analysis: Collect, clean, and analyze large, complex, and often unstructured datasets; translate findings into clear, actionable insights for client stakeholders.
Statistical modeling: Apply statistical techniques including Bayesian experimental design, feature engineering, and uncertainty quantification to scientific and engineering data.
Monitoring & alerting: Implement real-time monitoring of data streams and system logs; tune detection thresholds to minimize false positives and surface meaningful signals.
Cross-functional collaboration: Partner with data engineers, software engineers, scientists, and business stakeholders across the full project lifecycle — from scoping through deployment.
Generative AI integration: Explore and apply GenAI capabilities to accelerate experimentation, enhance modeling workflows, and unlock efficiencies for clients.
Best practices: Champion software engineering and data science best practices: reproducibility, version control, documentation, and scalable solution design.
Communication: Communicate complex analytical findings clearly — in writing and in meetings — to both technical and non-technical audiences, including client leadership.

Requirements

Experience in life sciences, pharma, biotech, or regulated manufacturing industries.
Proven hands-on experience delivering data science projects end-to-end, in an industry or consulting setting — not just academic or research contexts.
Strong proficiency in Python and the data science stack: Jupyter, Pandas, scikit-learn, and relevant ML libraries.
Solid grounding in statistics and machine learning: model development, validation, and interpretation.
Experience analyzing large, complex, or unstructured datasets and communicating insights effectively.
Familiarity with software development best practices: Git, Docker, cloud platforms (AWS preferred), and relational databases (e.g., PostgreSQL).
Strong communication skills in English and Spanish (written and verbal); ability to work effectively with global teams.
Ability to manage multiple projects simultaneously and adapt in a dynamic, client-driven environment.

Preferred

Background in optimization techniques (constrained, combinatorial, convex, discrete).
Experience with Bayesian methods and experimental design.
Familiarity with anomaly detection, process monitoring, or quality control applications.
Exposure to bioinformatics or scientific data pipelines.
Hands-on experience with Generative AI tools and LLM-based workflows.
Advanced degree (Master's or PhD) in a quantitative field — statistics, computer science, engineering, mathematics, or related. Equivalent practical experience is equally valued.

Benefits

CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT. Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike. We are a curious bunch, characterized by our passion to learn and spirit of teamwork. Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations. Our team’s knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 18 of the Top 20 Biopharma companies.

We look for Science – Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc. We possess scientific and technical knowledge and bear professional and personal goals. While we have a “no doors” policy to promote free access within, we do have a tough door to walk in. We search with a two-point agenda – technical competency and cultural adaptability.

We offer superior benefits to those outlined by law, a competitive compensation package including accrued vacation, and a healthy Christmas bonus.

If you share these sentiments and are prepared for the atypical, then Zifo is your calling!

Zifo Mexico is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Postulación rápida

Refina tu búsqueda

machine learning platform engineer empleos en centro (área 9) cdmx

Data Scientist - Life Sciences AI / ML

Forward Deployed Engineer Intern

Research Analyst - Oil Supply

Ingeniero de Datos Senior – GCP

Manager, Commercial Performance Analytics.

Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)

Data Engineer II, DASH Device Operations

Data Scientist Sr 2830

AI / ML Engineer

AI Engineer

Cement Solution Manager

Data & Analytics Specialist

Senior AI Application Engineer

AI Business Operations Analyst - Mexico City (Hybrid)

Premier Success Manager

software engineer I

Sr Data Engineer - Music DISCO, Music DISCO

Senior Software Engineer

Senior Data Engineer

Senior Full Stack Engineer – Lab Connect

Quiero recibir la alerta de empleo más reciente para machine learning platform engineer en centro (área 9) cdmx

Related Searches

Explorar empleos en más ubicaciones

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado