Machine Learning Engineer

Job Description

Demonstrated expertise and a strong foundational background in Artificial Intelligence AI and Machine Learning ML including proficiency with current industry trends and methodologies
Proven track record of successfully delivering AIML projects from inception to deployment
Prior experience within the financial sector is highly desirable
Solid programming skills particularly in Python including scripting development and data manipulation
Exceptional communication and interpersonal skills with the ability to articulate complex technical concepts and present effectively to diverse audiences across all organizational levels.

Requirements

• Demonstrated expertise and foundational background in AI and ML
• Experience delivering AIML projects from inception to deployment
• Programming skills in Python, including scripting development and data manipulation
• Strong communication and interpersonal skills

Qualifications

• Proven track record of successful project delivery
• Financial sector experience preferred
• Solid programming skills in Python
• Exceptional communication and interpersonal skills

Skills

• Proficiency with current industry trends and methodologies in AI and ML
• Ability to deliver AIML projects from inception to deployment
• Python programming skills, including scripting development and data manipulation
• Effective communication and presentation skills

Pay

The base compensation range for this role in the posted location is: 85,000 - 95,000 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws.

Schedule

Location: Jersey City, NJ or NYC, NY (Hybrid).

Benefits

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade
• 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
• Other benefits as provided by local policy and eligibility

About the Role

Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.