Machine Learning Engineer / MLOps (Python, Cloud, Data) – Híbrido - CDMX

Posted Yesterday
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Hiring Remotely in Mexico City, Ciudad De México, MEX
Remote
Mid level
Software
The Role
Build and maintain ML pipelines, implement CI/CD for models, deploy and integrate models into APIs/services, monitor performance and drift, manage model versioning, and collaborate with Data Science and Data Engineering teams to deliver scalable production ML solutions.
Summary Generated by Built In

Orion Innovation is a premier, award-winning, global business and technology services firm.  Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity.  We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.


Estamos en búsqueda de un Machine Learning / MLOps Engineer con experiencia en llevar modelos de Machine Learning a producción y construir soluciones escalables dentro del entorno de datos.
 
Esta posición forma parte de las iniciativas de analítica avanzada y personalización, con impacto directo en la experiencia del cliente.
 
Responsabilidades
  • Construcción y mantenimiento de pipelines de Machine Learning
  • Implementación de procesos de CI/CD para modelos
  • Despliegue de modelos en ambientes productivos
  • Integración de modelos en APIs y servicios
  • Monitoreo de desempeño, drift y versionado de modelos
  • Colaboración con equipos de Data Science y Data Engineering

Requisitos
  • +3 años en roles de datos o Machine Learning
  • Experiencia con Python y SQL
  • Experiencia trabajando con pipelines de datos o ML (Airflow, Spark)
  • Conocimiento en herramientas de ML Ops (MLflow, DVC, Kubeflow o similares)
  • Experiencia en cloud (AWS o GCP)
  • Conocimiento en Docker y Kubernetes (deseable)
  • Experiencia en CI/CD

Stack tecnológico

Python, SQL, Spark, Airflow, BigQuery, Snowflake, Redshift, Docker, Kubernetes, MLflow, DVC, Vertex AI, SageMaker, Git


Ofrecemos
  • Prestaciones de Ley y Superiores
  • Exposición con equipos y proyectos multiculturales
  • Desarrollo profesional en analítica avanzada

Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Candidate Privacy Policy

Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:

  • What information we collect during our application and recruitment process and why we collect it;
  • How we handle that information; and
  • How to access and update that information.

Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.


Skills Required

  • 3+ years in data or Machine Learning roles
  • Experience with Python and SQL
  • Experience working with data or ML pipelines (Airflow, Spark)
  • Knowledge of MLOps tools (MLflow, DVC, Kubeflow or similar)
  • Experience with cloud platforms (AWS or GCP)
  • Knowledge of Docker and Kubernetes
  • Experience with CI/CD for models

Orion Innovation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Orion Innovation and has not been reviewed or approved by Orion Innovation.

  • Wellbeing & Lifestyle Benefits Orion highlights health and well-being initiatives such as fitness, mindfulness, and flexibility/remote options, reinforced by recognition like Cigna’s Healthy Workforce Designation. Flexibility via hybrid/remote work is positioned as a consistent part of the overall rewards experience.
  • Fair & Transparent Compensation Pay is characterized as moderately satisfactory overall, with pockets where compensation is viewed as fair, particularly for some software engineering and certain U.S. roles. Public snapshots also indicate that competitiveness can be stronger in specific markets and functions.
  • Career-Linked Recognition & Rewards Performance-linked outcomes are implied through mentions that hikes can be good when performance is demonstrated. Learning and development programs are also emphasized as part of the broader value proposition tied to career growth.

Orion Innovation Insights

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The Company
HQ: Edison, NJ
3,410 Employees
Year Founded: 1993

What We Do

Orion is a leading digital transformation and product development services firm. Headquartered in Edison, NJ, we have a global team of 6,200+ associates, with engineers in 14 major delivery centers across North America, Europe, Asia Pacific and Latin America. For over 25 years, Orion has been solving complex business problems for our clients. Our transformative business solutions are rooted in digital strategy, experience design, and engineering, empowering our clients to operate with agility at scale.​ Our mission is to serve as an agile and trusted partner for business transformation initiatives, providing deep emerging technology, experience design, and domain expertise.​ Our business has more than tripled over the last three years. ​ We have grown aggressively both organically and inorganically, adding new clients, complementary skills, domain expertise, and strengthening our global footprint.

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