Machine Learning Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

New York, NY

• Analyze large and complex datasets to derive actionable insights and inform business strategies.
• Develop and implement advanced machine learning models and algorithms.
• Collaborate with cross‑functional teams to understand business needs and provide data‑driven solutions.
• Communicate findings and recommendations to stakeholders and executive leadership.
• Stay updated with the latest trends and technologies in data science and machine learning.

• Proficient in Pyspark, Py-Torch & GenAI,
• Experience in Python, Pandas, Num Py, Scikit‑Learn
• Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related field.
• Minimum of 8 years of experience in a data science role.
• Proficiency in programming languages such as Python or R..
• Strong understanding of machine learning techniques and algorithms.

• Experience with modern ML frameworks such as PyTorch, Tensor Flow
• Experience with big data technologies such as Py Spark
• Experience with ML model training within cloud infra such as Azure, AWS, GCP
• Proven track record of successfully deploying and optimizing ML models in a production environment.
• Excellent communication and visualization skills to effectively present data insights to non‑technical stakeholders.

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

The base compensation range for this role in the posted location is: $96000 to $110000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to:
Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

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 (A‑F), defined by policy:
  Vacation: 12‑25 days, depending on grade, 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
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including…