Lead Machine Learning Engineer
Job Description
Lead Machine Learning Engineer role with a hybrid work setup in the Charlotte, NC area, supporting machine learning initiatives within a global organization.
Responsibilities
- Lead machine learning engineering efforts as part of project delivery at Capgemini
- Drive execution of duties, responsibilities, and qualifications required for the role (general description)
Requirements
- General qualifications are covered in the role’s duties, responsibilities, and qualifications statement (general description)
Job Location
- Charlotte, NC - Onsite Hybrid
Compensation
- Base salary range: USD 141,000 - 150,000 per year (posted location)
- May be eligible for additional compensation, such as variable incentives, bonuses, or commissions, depending on position and applicable laws
Benefits
- Paid time off based on employee grade (A-F): Vacation 12-25 days depending on grade (policy-based)
- Company-paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
Equal Opportunity & Other Disclosures
- Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace
- Participation in the Partnership Accreditation in Indigenous Relations (PAIR) program supporting meaningful engagement with Indigenous communities across Canada through fairness, accessibility, inclusion, and respect
- All qualified applicants will receive consideration without regard to protected characteristics such as race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law
- Capgemini is committed to providing reasonable accommodation during the recruitment process
- Capgemini may capture your image (video or screenshot) during interviews for verification, including during hiring and onboarding
- This posting provides a general description of the duties, responsibilities, and qualifications required for the position