Machine Learning Engineer

We are looking for a machine learning and natural language processing specialist to explore design and develop new Machine Learning solutions for a Firm-wide user base leveraging many tools. The ideal candidate should hold an advanced degree in a quantitative discipline and has experience researching building and maintaining data science models at scale in an enterprise environment. The position requires good communication skills ability to work together in cross-functional technical teams in different areas of the organization.

• Independently work on end-to-end development of Machine Learning and Natural Language Processing models to derive insights from research publications legal documents regulatory requirements etc.
• Design and implement business solution in agile squads. Engage in Machine Learning project which includes problem definition Data Engineering Machine Learning design and documentation for the model risk management and running all the needed ML tests to ensure reliability.
• Develop maintain and track detailed delivery plans. Strong Data analysis processing discovery skills.

• At least 4 years of experience with design and implementation of machine learning predictive analysis data science knowledge bases recommendation systems information retrieval.
• Strong understanding of the foundational concepts and applied experience in Machine Learning and model explain ability (ideally a combination of excellent academic research and high-impact commercial projects).
• In depth understanding of common Machine Learning algorithms (e.g. for classification regression and clustering).
• Experience with LLM models and Open AI. In depth knowledge of advanced statistical theories methodologies and inference tools.
• Proven track record in some of the advanced topics such as Bayesian inference hierarchical models deep learning Gaussian processes and causal inference.
• Practical experience in preparing data for Machine Learning integrating with big-data platforms and high-performance computing ecosystems.
• Strong analytical and problem-solving skills.

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 Canada 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 Canada by Capgemini.