Published: Tue, 24 Jun 2025 14:50:18 GMT
Position: Machine Learning Engineer
Company: Capgemini
Location: [Insert location here]
At Capgemini, we believe in empowering our employees to shape their own careers and be part of a collaborative global community. We are dedicated to helping the world’s leading organizations harness the power of technology to create a more sustainable and inclusive world. Join our team and be a part of something bigger.
Job Description:
We are seeking a talented Machine Learning Engineer with strong programming skills in Python and experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. The ideal candidate will also have experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes), as well as familiarity with MLOps tools like MLflow, SageMaker, and Kubeflow. A solid understanding of model evaluation, versioning, and deployment strategies is also required, along with experience in monitoring tools and logging frameworks for ML systems.
Key Responsibilities:
– Design and implement scalable, production-ready pipelines for deploying machine learning models.
– Ensure seamless integration of models into real-world applications and services.
– 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:
At Capgemini, we value our employees’ well-being and offer a range of benefits and programs to support them throughout their career. These include:
– Flexible work arrangements
– Healthcare benefits 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 holidays
– Paid parental leave
– Family building benefits such as adoption assistance, surrogacy, and cryopreservation
– Social well-being benefits such as subsidized back-up child/elder care and tutoring
– Mentoring, coaching, and learning programs
– Employee Resource Groups
– Disaster Relief support
Salary Transparency:
At Capgemini, we believe in transparency and disclose salary range information in compliance with state and local pay transparency obligations. The disclosed range for this role is $90,000-$95,000 per year. Please note that the actual salary may vary based on factors such as geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. Additionally, this role may be eligible for other forms of compensation, including variable compensation, bonus, or commission.
Disclaimer:
Capgemini is an Equal Opportunity Employer and values 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 job description is a general overview of the duties, responsibilities, and qualifications required for this position. It may reference physical, mental, sensory, or environmental demands, but reasonable accommodations will be made for individuals with disabilities to perform the job. If you require assistance or accommodation during the recruitment process, please contact your recruiting contact.
To learn more about your rights as an applicant, please visit http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law.
About Capgemini:
Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable world while creating tangible impact for enterprises and society. With over 55 years of experience, Capgemini is trusted by clients to unlock the value of technology and address their business needs. Our services and solutions cover strategy and design, engineering, AI, cloud, and data, and are supported by our deep industry expertise and partner ecosystem. Join our diverse team of over 340,000 members in more than 50 countries and be a part of our responsible and innovative company. Apply link