db49d6be-347 FBS MLOps Engineer Manager FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. This position leads the deployment, implementation, and optimization of machine learning pipelines to solve complex business challenges. The role involves both hands-on work and supervising a team to deliver effective machine learning engineering solutions for a line of business. The position applies in-depth knowledge of policies, procedures, and business objectives to make decisions and guide team. Performs work independently while receiving limited guidance.

Key Responsibilities:

  • Delivers machine learning ops engineering tasks such as deployment, implementation, optimization, and maintenance of machine learning pipelines and models.
  • Ensures pipelines support efficient data ingestion, preprocessing, model training, validation, deployment and monitoring.
  • Implements scalable and robust machine learning solutions that can handle large volumes of data and complex models.
  • Implements real-time inference with high availability and low latency.
  • Creates strategic plans within span of control and implements them across one to two business domains.
  • Ensures seamless integration of pipelines with continuous integration and continuous deployment (CI/CD) tools and workflows.
  • Supporting and maintaining solutions in production (fixing bugs, make changes as required, maintaining models)
  • Collaborates with cross-functional teams to integrate machine learning and business logic-based solutions into production systems
  • Effectively communicates and applies machine learning engineering value, concepts, and strategies in various scenarios with stakeholders
  • Recruits, hires, and mentors' top talent to build a high-performing MLOps team. Supervises, coaches, and guides direct reports
  • Uses advanced knowledge of code management principles to follow architectural and governance guidelines

Requirements:

  • 5 years of experience required in deploying and managing machine learning pipelines, or related work.
  • Full English Fluency
  • Experience in a leadership role within a fast-paced, technology driven environment
  • Team: Data Scientist, Python Developers, Cross disciplinary (Underwriting, Actuary) 2 Direct Reports
  • Insurance (PLUS), Healthcare, heavily regulated, audit

Technical & Business Skills:

  • Possesses strong technical aptitude. In-depth knowledge of machine learning frameworks and libraries.
  • Modern Oriented Language: Python (PLUS), Java, Typescripts, Ruby, Rust
  • Familiar with DevOps practices and tools for continuous integration and deployment. (MUST)
  • Experience in Production Support (Maintaining Models, Bug Fixes) MUST
  • Collaborative with other areas, Translate, strong communication
  • Business Logic Model, Real Time execution: Business Logic Based Solutions, writing code to determine system behavior. (MUST)
  • Small volumes of data but fast execution
  • Automated software and Model Testing (how to know model is behaving properly)

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]]> full-time senior hybrid machine learning, DevOps, Python, Java, Typescripts, Ruby, Rust, continuous integration, continuous deployment, business logic, real-time inference, data ingestion, model training, validation, deployment, monitoring, scalable, robust, large volumes of data, complex models, high availability, low latency, strategic planning, cross-functional teams, production systems, communication, leadership, team management, code management, architectural governance Engineering Technology Capgemini https://logos.yubhub.co/capgemini.com.png Capgemini is a multinational consulting and professional services firm with over 350,000 employees across 50 countries. https://www.capgemini.com/ https://jobs.workable.com/view/xtsbZUB922R7X3dhjFD2yR/hybrid-fbs-mlops-engineer-manager-in-mexico-city-at-capgemini Mexico City 2026-04-24 5f412d9d-8ae FBS MLOps Engineer Manager FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. We believe that the foundation of every successful business lies in having the right people with the right skills. This position leads the deployment, implementation, and optimization of machine learning pipelines to solve complex business challenges. The role involves both hands-on work and supervising a team to deliver effective machine learning engineering solutions for a line of business.

Key Responsibilities:

  • Delivers machine learning ops engineering tasks such as deployment, implementation, optimization, and maintenance of machine learning pipelines and models.
  • Ensures pipelines support efficient data ingestion, preprocessing, model training, validation, deployment and monitoring.
  • Implements scalable and robust machine learning solutions that can handle large volumes of data and complex models.
  • Implements real-time inference with high availability and low latency.
  • Creates strategic plans within span of control and implements them across one to two business domains.
  • Ensures seamless integration of pipelines with continuous integration and continuous deployment (CI/CD) tools and workflows.
  • Supporting and maintaining solutions in production (fixing bugs, make changes as required, maintaining models)
  • Collaborates with cross-functional teams to integrate machine learning and business logic-based solutions into production systems
  • Effectively communicates and applies machine learning engineering value, concepts, and strategies in various scenarios with stakeholders
  • Recruits, hires, and mentors' top talent to build a high-performing MLOps team. Supervises, coaches, and guides direct reports
  • Uses advanced knowledge of code management principles to follow architectural and governance guidelines

Requirements:

  • 5 years of experience required in deploying and managing machine learning pipelines, or related work.
  • Full English Fluency
  • Experience in a leadership role within a fast-paced, technology driven environment
  • Team: Data Scientist, Python Developers, Cross disciplinary (Underwriting, Actuary) 2 Direct Reports
  • Insurance (PLUS), Healthcare, heavily regulated, audit

Technical & Business Skills:

  • Possesses strong technical aptitude. In-depth knowledge of machine learning frameworks and libraries.
  • Modern Oriented Language: Python (PLUS), Java, Typescripts, Ruby, Rust
  • Familiar with DevOps practices and tools for continuous integration and deployment.
  • Experience in Production Support (Maintaining Models, Bug Fixes)
  • Collaborative with other areas, Translate, strong communication
  • Business Logic Model, Real Time execution: Business Logic Based Solutions, writing code to determine system behavior.
  • Small volumes of data but fast execution
  • Automated software and Model Testing (how to know model is behaving properly)

XML job scraping automation by YubHub

]]> full-time senior hybrid Machine Learning, Python, Java, Typescripts, Ruby, Rust, DevOps, Continuous Integration, Continuous Deployment, Production Support, Business Logic Model, Real Time Execution Engineering Technology Capgemini https://logos.yubhub.co/capgemini.com.png Capgemini is a global consulting and technology services company that helps businesses transform and manage their operations. https://www.capgemini.com/ https://jobs.workable.com/view/67vfGv68FmqkRcKxzTmFzR/hybrid-fbs-mlops-engineer-manager-in-s%C3%A3o-paulo-at-capgemini São Paulo 2026-04-24