Machine Learning Engineer

Lensa; New York (NY); On-site; USD 90,000 - 95,000; Full time

Job summary

A leading technology services company seeks a Machine Learning Engineer to design and implement scalable deployment pipelines for machine learning models. The role requires strong programming skills in Python, experience with frameworks like TensorFlow and PyTorch, and familiarity with cloud platforms. Join a vibrant team that empowers you to shape your career and support global organizations in building sustainable solutions.

Benefits

Flexible work

Healthcare including dental and vision

401(k) and Employee Share Ownership Plan

Paid parental leave

Family building benefits

Social well-being benefits

Mentoring and learning programs

Disaster Relief support

Qualifications

• Strong programming skills in Python with experience in ML frameworks.
• Familiarity with cloud platforms and containerization.
• Experience with MLOps tools and understanding of model evaluation.

Responsibilities

• Design and implement production-ready pipelines for ML model deployment.
• Build infrastructure for training and deployment using cloud and MLOps.
• Automate workflows to enhance the ML lifecycle.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

AWS

GCP

Azure

Docker

Kubernetes

MLflow

SageMaker

Kubeflow

Job description

1 day ago Be among the first 25 applicants

Lensa partners with DirectEmployers to promote this job for Capgemini.

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 organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Description

• Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Familiarity with MLOps tools (e.g., MLflow, SageMaker, Kubeflow).
• Solid understanding of model evaluation, versioning, and deployment strategies.
• Experience with monitoring tools and logging frameworks for ML systems.
  
  

Key Responsibilities

• Model Deployment
• Design and implement scalable, production-ready pipelines for deploying machine learning models.
• Ensure seamless integration of models into real-world applications and services.
• Infrastructure & Automation
• Build and maintain robust infrastructure for model training, testing, and deployment using cloud platforms and MLOps tools.
• Automate workflows to streamline the ML lifecycle.
  
  

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

Salary Transparency

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $ 90000- $ 95000 /yearly.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

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 get in touch with your recruiting contact.

Click the following link for more information on your rights as an Applicant

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, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Ref. code: 268449

Posted on: Jun 18, 2025

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

New York, US

Brand: Capgemini

Professional Community: Software Engineering

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.

If you have questions about this posting, please contact [e-mail]

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

Referrals increase your chances of interviewing at Lensa by 2x

Sign in to set job alerts for “Machine Learning Engineer” roles.

New York, NY $120,700.00-$228,600.00 1 week ago

Software Engineer, Machine Learning (Multiple Levels) - Slack

New York, NY $167,300.00-$334,600.00 1 day ago

New York, NY $100,000.00-$250,000.00 1 week ago

New York, NY $180,000.00-$290,000.00 2 months ago

New York, NY $120,000.00-$160,000.00 1 week ago

New York, NY $160,000.00-$280,000.00 1 year ago

Machine Learning Engineer, Personalization

New York, NY $136,878.00-$195,540.00 1 week ago

Brooklyn, NY $153,000.00-$199,000.00 2 days ago

New York, NY $220,000.00-$260,000.00 2 weeks ago

New York, NY $140,000.00-$200,000.00 8 months ago

New York, NY $141,000.00-$202,000.00 1 week ago

New York, NY $140,000.00-$200,000.00 8 months ago

New York, NY $187,000.00-$270,000.00 1 week ago

New York, NY $150,000.00-$200,000.00 1 month ago

Machine Learning Engineer, GenAI Applied ML

New York, NY $176,000.00-$220,000.00 1 week ago

New York, NY $90,000.00-$140,000.00 1 year ago

Machine Learning Engineer, GenRecs, Personalization

New York, NY $138,250.00-$197,500.00 5 days ago

New York, NY $175,000.00-$265,000.00 3 weeks ago

New York, NY $180,000.00-$240,000.00 2 months ago

New York, NY $110,000.00-$250,000.00 2 months ago

New York, NY $164,000.00-$198,000.00 2 weeks ago

New York, NY $140,000.00-$140,000.00 1 week ago

Senior Software Engineer I, Machine Learning

Brooklyn, NY $183,000.00-$216,000.00 1 week ago

New York, NY $130,000.00-$180,000.00 5 months ago

New York, NY $190,000.00-$285,000.00 17 hours ago

New York, NY $132,000.00-$154,000.00 2 weeks ago

Staff Applied Scientist I, Machine Learning Recommendations

Brooklyn, NY $218,000.00-$257,000.00 2 weeks ago

New York, NY $220,000.00-$300,000.00 3 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.