MLOps Engineer (Remote in México)
Capgemini
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Your role
- 'To enhance our Marine-Operations Performance Monitoring & Forecasting capabilities:
- MIAP Performance Monitoring: Includes code refactoring and enhancements on a dynamic, two-step regression model used to forecast performance of different shipboard systems (e.g. HVAC, Service Power).
- Fuel Forecasting: Creating an enhanced fuel forecasting model accounting for additional features (e.g. fuel type mix, speed, weather) and serving model through a Container App or Endpoint for Business Planning Teams to simulate fuel costs based on different deployment scenarios
Your profile
- Key skills: Data Science, Python, Databricks, Azure DevOps
- Most important skill set is to be an excellent software engineer in Python. Should also know PySpark, Python Package Management, and MLFlow.
- AzureDevOps/MLOps: A MLOps Engineer will enhance the AzureDevOps/MLOps capabilities of MARC. Proper adherence to best practices in MLOps will ensure that MARC’s pricing and inventory automation processes are being properly developed, deployed, and monitored in a secure and efficient manner to reduce operational risks and increase system scalability.
- ML Algorithm and techniques
- Feature selection & engineering, identifying, and selecting relevant features and engineering new features to improve model performance.
- Machine Learning frameworks such as TensorFlow, PyTorch etc.
- Creating and maintaining Python libraries for machine learning that provides a range of algorithms for classification, regression, clustering etc.
- Skills to write efficient and scalable code for data processing, model training & deployment.
- Selecting appropriate ML algorithms and training them on the preprocessed data to create accurate predictive models.
- Cloud computing platform experience (preferably in Azure)
- Cloud based ML Services (preferred Azure ML)
- Azure services, such as ADF, Azure Functions, Azure Cosmos DB etc.
- Azure DevOps Principles & practices, including CI/CD pipelines.
- Azure Security Management for security policies, access controls
- Azure Active Directory, network security groups
- Strong data analytics skills for data profiling to train the model.
What you will love about working here
- Empowered Careers with Purpose: Work on meaningful projects that use technology to solve real-world challenges. Be part of a company that values sustainability, inclusion, and digital equity. Contribute to building a better future for people, planet, and society.
- Growth and Learning at Every Step: Access continuous learning through internal academies, certifications, and mentorship. Explore career mobility across roles, industries, and geographies. Be part of a “school of excellence” where your skills resonate beyond the company
- Own your growth: Open access to digital learning platforms. Digital campuses on AI, Cloud, Data or Sustainability. Award winning career acceleration programs
Need to know
- Work modality: remote
- Flexible Schedules: We support flexible working hours to accommodate different lifestyles, time zones, and family responsibilities.
- Benefits: Training, certifications, and mentorship programs
- Community Engagement: Participate in local volunteering initiatives, tech meetups, and cultural events that connect you with the Capgemini community.
About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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 welcome and will be considered based on merit against the job and/or experience for the position.