Your role:
We are looking for a highly capable Senior 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.
- 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.
What We Offer
- Stable Employment: Permanent contract offering long-term job security.
- Learning & Development: Access to a wide range of online training platforms and professional development resources.
- Language Training: Weekly virtual English classes and conversation sessions with certified instructors. Online Courses for different languages.
- Health Coverage: Comprehensive prepaid medical and dental plans.
- Insurance Protection: Life and accident insurance for peace of mind.
- Wellness Perks: Discounts and benefits through fitness and technology partnerships.
About Capgemini
At Capgemini Colombia, 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.
Capgemini Engineering