Senior Machine Learning Engineer - Remote

Descripción de la oferta

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:

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.
3+ years of experience with ML Engineering and/or ML Ops. Up to 2 years of Software Engineering or Data Engineering experience can also count towards this requirement.
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.
Special Occasion benefits.


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.

Requerimientos

• Educación mínima: Universidad / Carrera técnica
• 5 años de experiencia
• Idiomas: Inglés
• Conocimientos: Azure, Etl, nlp, Python, Sql

Aptitudes asociadas a esta ofertaNuevo

Palabras clave: senior, sr, aprendizaje, learning, ingeniero, engineers, ingeniera, ing, engineer, casa, remoto, remote, teletrabajo, home

Hace 4 horas (actualizada)

Acerca de CAPGEMINI COLOMBIA

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 60,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Na...

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 60,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.

Capgemini Engineering is an integral part of the Capgemini Group, 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, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.