We are seeking a seasoned Senior Data Scientist with 15+ years of experience in developing and deploying machine learning solutions. The ideal candidate should have hands-on expertise in MLOps (at least two end-to-end production deployments) solution architecture and experience with one major cloud platform (AWS Azure or GCP) is an added advantage. Strong skills in Python SQL PySpark and ML/ NLP are required.
Responsibilities
- Architect and deploy scalable ML/AI solutions including MLOps pipelines for CI/CD model monitoring and governance.
- Lead the design and development of Data/ NLP solutions for applications such as text summarization conversational AI and entity recognition.
- Build and optimize data pipelines using PySpark and SQL for large-scale data processing.scalable ML development and deployment
- Collaborate with stakeholders to align Data initiatives with business goals and mentor junior team members.
Skills
- 10-12 years of exp in DataML
- Programming: Python (Pandas NumPy PyTorch TensorFlow) SQL.
- MLOps: Experience with tools like MLflow
- Kubeflow Docker Kubernetes and CI/CD pipelines.
- Data Engineering: Proficient in PySpark and distributed data processing.
- Cloud Platforms: Proven experience with one major cloud platform (AWS Azure or GCP) is an added advantage
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
