Machine Learning Engineer

Capgemini Engineering; Colombia; Presencial; COP 218.762.533 - 328.143.799; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stable Employment

Learning & Development

Language Training

Health Coverage

Insurance Protection

Wellness Perks

Descripción de la vacante

A tech consulting firm in Colombia is seeking a Senior MLOps Engineer who will support revenue generation and cost optimization projects. The role involves building machine learning frameworks, ensuring success in production, and implementing automated CI/CD testing. Required qualifications include a Bachelor's degree in a relevant field and 5+ years of experience in Data Analytics. The company offers long-term job security, professional development opportunities, health coverage, and wellness perks.

Formación

• 5+ years of experience in Data Analytics.
• Experience building scalable machine learning systems.
• Proficiency in Python and data analytics packages.

Responsabilidades

• Build and maintain machine learning frameworks.
• Support project teams with various stakeholders.
• Automate CI/CD testing and deployments.

Conocimientos

Machine learning frameworks

Data analytics

Python programming

SQL proficiency

Critical thinking

Scalable machine learning systems

Educación

Bachelor's degree in software engineering, computer science, data science, or related field

Master's or PhD in a related field

Herramientas

Numpy

Pandas

Sklearn

PySpark

Azure DevOps

MLFlow

Descripción del empleo

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.