Job Description
We are seeking an experienced Machine Learning Engineer with 7+ years of hands-on expertise in developing and deploying ML models. The ideal candidate will have strong proficiency in Python, deep knowledge of ML algorithms, and experience in building scalable data pipelines. You will work on cutting-edge projects involving NLP, Deep Learning, and Large Language Models (LLMs), while collaborating with cross-functional teams to deliver impactful AI solutions.
Key Responsibilities:
- Design, develop, and deploy Machine Learning models using Python.
- Build and optimize data pipelines for high-volume, high-dimensional datasets.
- Implement REST API integration for ML models to enable seamless consumption.
- Perform data preprocessing using tools like Pandas, NumPy, etc.
- Analyze complex datasets to extract insights and improve model performance.
- Collaborate with stakeholders to understand business requirements and translate them into ML solutions.
Required Skills:
- 7+ years of hands-on experience in ML model development and deployment.
- Strong proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
- Solid understanding of ML algorithms and statistical modeling.
- Experience in data preprocessing and feature engineering.
- Knowledge of REST API integration for ML models.
Preferred Skills:
- Experience with NLP and Deep Learning techniques.
- Exposure to Transformers and Large Language Models (LLMs).
- Familiarity with Cloud ML platforms (Azure AI, AWS SageMaker).
- Experience with SQL/NoSQL databases.
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
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 http://www.capgemini.com/resources/equal-employment-opportunity-is-the-…