Machine Learning Engineer
Careers.capgemini.com
Apply to this jobAt 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.
Job Description
We are looking for a highly capable Senior ML Engineer with a strong Software Engineering and DevOps background. As a Senior ML 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.
- 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.
Required:
- Bachelor's degree in software engineering, computer science, data science, mathematics, or a related field.
- 5+ years of overall experience in Data Analytics.
- 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.
- Experience creating python packages
- 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.
Preferred Requirements:
- Master’s or PhD degree in computer science, data science, mathematics, or a related field.
- 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.
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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.
Summary
Build and maintain scalable machine learning systems, frameworks, and CI/CD pipelines.
Job title
Machine Learning Engineer
Experience level
5+ years
Minimum experience
5+ years exp
Industry
technology
Location requirements
Bogota, CO; remote work allowed
Salary
Not specified
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
Bogotá, Bogota, Colombia