Job Title: Machine Learning Platform Engineer

Job Location: Hybrid (preferred base locations - Atlanta, NYC area, Dallas, Houston, Chicago, San Fran, and Seattle)

Job Description: The ML Engineering team is responsible for architecting the productionalized solution around rules-based and AI/ML models to integrate predictions seamlessly into the business processes, ensuring governance, resiliency, explainability, reproducibility, and scalability of the models. We are looking for a highly capable ML Platform Engineer to optimize rules-based and machine learning systems. As an engineer for the ML platform you will be working at the intersection of machine learning, DevOps, and data engineering (i.e. MLOps). The position will require 3-4 days a week in person. Local candidates only (relocating candidates not considered at this time).

Key Responsibilities:
• At least 5 years in a relevant role. Lead and consult with business stakeholders and data science teams to define data engineering and MLOps requirements.
• Transforming business and data science prototypes and applying appropriate algorithms and tools.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing reusable data and feature stores for rules-based and AI/ML models.
• Developing alerting tool frameworks for monitoring productionized model performance and effectiveness.
• Automate deployments incorporating MLOps best practices into productionalized solutions.
• Document frameworks and machine-learning processes.
• Build simple front-end reporting solution for shipboard engineers to consume the insights. (web app development)

Required Skills
• Experience building scalable machine learning systems and data-driven products working with cross-functional teams.
• Well-developed software engineering fundamentals, including use of proper development, QA, and production environments, and the ability to write production-level code when needed.
• Experience creating a python package
• Proficiency in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark).
• Proficiency in Databricks & MLFlow
• Proficiency in SQL.
• Good communication skills and the ability to understand and synthesize requirements across multiple project domains.
• Works effectively with cross-functional teams.

Desired Skills
• Python or Javascript web app development experience
• Experience in a large corporation or consulting firm
• Experience with IoT and/or sensor data

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini

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, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want | www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.