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ML Ops Engineer

About Capgemini Group

 

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.

 

We are looking for a highly capable MLOps Engineer with a strong Software Engineering and DevOps background. As a Senior MLOps Engineer, you will be embedded and supporting a revenue generation or cost optimization project, ensuring its success in production by improving the code, creating automated CI/CD testing, and developing frameworks that can be reused for other similar projects.

 

Location: Any state of Mexico

 

REQUIREMENTS
  • 5+ years of overall experience in Data Analytics.
  • 3+ years of experience with ML Engineering and/or ML Ops. Up to 2 years of Software Engineering or Data Engineering experience can also count towards this requirement.
  • Sharp critical thinking skills and ability to learn and question complex processes and solutions.
  • Experience building scalable machine learning systems and data-driven products working with cross-functional teams.
  • Well-developed software engineering skills, including use of proper development, QA, and production environments, object-oriented programming, version control, and knowledge of multiple programming languages.
  • Proficiency in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark).
  • Proficiency in SQL.
  • Good communication skills and the ability to understand and synthesize requirements across multiple project domains. 
Preferred Requirements:
  • Experience with sensor data or other noisy data types.
  • Experience with Agile Software Development.
  • Experience in a large corporation or consulting firm with focus in marketing strategies, modeling, CRM and management sciences/statistics highly desired.
  • Familiarity with frameworks and languages designed for big-data analytics, including Spark and Azure Data Factory.
  • Experience with MLOps and ML experiment tracking tools, such as Azure DevOps and MLFlow or similar.
  • Experience with cloud computing services such as Microsoft Azure, Amazon Web Services and/or Google Cloud Platform
  • Familiarity with different data science techniques: statistics, machine learning, or cognitive AI.
 
RESPONSIBILITIES
 
  • Build, maintain, and document machine learning frameworks (python packages) used across multiple projects.
  • Support a project team with Data Scientists, Business Stakeholders, Analysts, and Data Engineers.
  • Develop reusable feature stores for rules-based and AI/ML models.
  • Implement monitoring capabilities for model performance and effectiveness in production.
  • Automate CI/CD testing and deployments incorporating MLOps best practices. 

 

What you will love about working with us:

  • At Capgemini we’re always looking ahead.
  • We reimagine possibilities, and we innovate with technology to bring ideas to life.
  • We encourage flexibility in how, when, and where people get their work done, allowing a better work-life balance, and greater empowerment.
  • They partner with their managers to find an arrangement that works best for their role and their circumstances.
  • We offer game-changing programs to accelerate the growth of our people and the development of their expertise.

 

What you need to know about what we offer:

  • Excellent compensation and benefits
  • Career path, trainings and real growth opportunities
  • Engaging and challenging projects.
  • Excellent work environment and culture.
  • Open and Effective management.
  • Highly professional and collaborative teams.

 

At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welco
Ref. code:  427685
Posted on:  Feb 27, 2026
Experience Level:  Experienced Professionals
Contract Type:  Permanent
Location: 

Aguascalientes, MX Mexico City, MX Guadalajara, MX

Brand:  Capgemini
Professional Community:  Data & AI

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