Senior Software Engineer - Machine Learning Engineer
Apply NowCompany: Capgemini
Location: Nyack, NY 10960
Description:
Job description:
We are seeking a highly skilled and motivated Machine Learning Engineer to join our team. As a ML Engineer, you will be at the forefront of developing and implementing ML solutions that drive innovation, improve product functionality, and create new value for our organization. If you have a strong background in machine learning, data engineering, and a passion for crafting scalable AI systems, we invite you to apply for this role.
Key responsibilities:
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of 22 billion.
Get The Future You Want | www.capgemini.com
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 reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
We are seeking a highly skilled and motivated Machine Learning Engineer to join our team. As a ML Engineer, you will be at the forefront of developing and implementing ML solutions that drive innovation, improve product functionality, and create new value for our organization. If you have a strong background in machine learning, data engineering, and a passion for crafting scalable AI systems, we invite you to apply for this role.
Key responsibilities:
- Machine Learning Development: Your primary responsibility will be to design, develop, and deploy machine learning models and algorithms that address sophisticated business problems. You will work on projects across various domains, from natural language processing to computer vision and recommendation systems
- Data Engineering: As a crucial part of the machine learning process, you will be responsible for collecting, preprocessing, and transforming data to make it suitable for model training and analysis. Strong data engineering skills are needed for success in this role
- Model Deployment: You will play a vital role in taking machine learning models from development to deployment in production environments. This includes optimizing models for performance, scalability, and real-time decision-making
- Collaboration: Collaboration with cross-functional teams, including data scientists, software engineers, and domain experts, will be necessary to understand business requirements and ensure that machine learning solutions align with organizational goals
- VetexAI (optional, preferred): Your experience with Google's Vertex AI framework is preferred
- Machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Data preprocessing and feature engineering
- Model training and evaluation
- Model deployment and serving (e.g., Docker, Kubernetes)
- Programming languages such as Python and optionally, languages like Java or C++
- Cloud platforms (e.g., AWS, Azure, Google Cloud)
- Big data technologies (e.g., Hadoop, Spark)
- Version control (e.g., Git)
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
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of 22 billion.
Get The Future You Want | www.capgemini.com
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 reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.