Machine Learning Engineer - Remote

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

Machine Learning Engineer (MLE) role, who will be responsible for guiding the successful development, automation, and governance of AI/ML Solutions to the internal customers. The MLE will be responsible for collaborating with Data Scientists, Domain Experts and Product Owners to build and deploy the end-to-end AI Products for the company. The role will require working knowledge of Cloud, DevOps/MLOps, Machine Learning, Deep Learning and Application Development. This position will also be involved in the formulation of key business requirements to be solved and rationalizing the various best practices to solve those problems. 

• Script production-ready codes.
• Leveraging GPU & CPU resources as appropriate / understanding capacity requirements for ML Workloads.
• Architect, automate and orchestrate Dev-Ops/ ML-Ops pipelines on cloud.
• Craft re-usable tools and frameworks to monitor, optimize and maintain ML solutions.
• Design and implement data engineering pipelines (ETL).
• Understand business problems and collaborate within the team to ensure scalability, business continuity and appropriate turnaround time.
• Continuously evolve your craft by keeping up to date with the new developments in AI/ML and related technologies and upskilling on these as needed.

YOUR PROFILE

• 6+ years of experience as a MLE or similar roles.
• Experience of working with large data sets, coming from varied sources.
• Excellent Programming Skills (Python Preferred).
• Experience with containerization (Docker) and container orchestration using Kubernetes.
• Experience in Cloud Application Development (Google Cloud Platform & Azure Preferred).
• Great at solving problems; debugging; troubleshooting; and designing & implementing solutions to complex technical issues.
• Experience designing, building, and maintaining ETL workflows and data pipelines, using orchestration tools like Apache Airflow, Kubeflow, or similar.
• Proficiency with DevOps practices, including CI/CD, Git-based workflows.
• Comfortable working in Unix/Linux environments.
• Hands on experience of designing, building, and supporting RESTful APIs.
• Proficient in English.

WHAT YOU’LL LOVE ABOUT WORKING HERE?

• At Capgemini Engineering, we encourage flexibility in how, when, and where people get their work done, allowing a better work-life balance, and greater empowerment. They partner with their managers to find an arrangement that works best for their role and their circumstances.
• At Capgemini Engineering, we’re always looking ahead. We’re part of a team that creates opportunities to achieve valuable change. Change that makes a difference. New connections, new technologies, new ways to work. It’s so energizing.​
• At Capgemini Engineering, we make it easy for you to deepen knowledge and learn new skills while you’re still doing the day job.

ABOUT CAPGEMINI

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms.

Get the future you want!

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.