Associate Data Scientist

We are looking for a skilled professional with experience in AI/ML, NLP, and API development. The candidate will design, develop, and deploy scalable solutions, working closely with cross-functional teams to build intelligent and efficient systems., Design, develop, and deploy RESTful APIs using FastAPI to enable seamless integration of AI/ML solutions. Build and optimize Natural Language Processing (NLP) models for: Text processing Sentiment analysis Named entity recognition Other language-based tasks Develop and implement machine learning algorithms using frameworks such as: TensorFlow PyTorch Scikit-learn

Collaborate with cross-functional teams to: Define data requirements Collect datasets Perform data preprocessing and analysis Leverage AWS services (e.g., S3, Lambda, SageMaker) to build scalable and efficient cloud-based solutions. Monitor and improve system performance to ensure reliability and accuracy of deployed models and APIs. Work on innovative predictive analytics solutions.

Strong proficiency in Python with experience in building production-grade applications. Hands-on experience in Natural Language Processing (NLP) techniques and tools. Proven expertise in FastAPI or similar frameworks for building REST APIs.

Experience with at least one machine learning framework: TensorFlow PyTorch Scikit-learn Good understanding of AI/ML concepts . Experience with AWS cloud services for application deployment and management., Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration. If you are content with ambiguity, excited by change, and excel through autonomy, we'd love to hear from you!

Pulled from the full job description

• Paid parental leave

• Employee stock purchase plan

• Parental leave

• 401(k)

• Health insurance

• Paid time off

• Vision insurance, SQL and NoSQL databases Data engineering best practices Applications will be accepted until 6/30/2026 Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance

• Paid holidays plus Paid Time Off

• 401(k) plan and contributions

• Long-term/Short-term Disability

• Paid Parental Leave

• Employee Stock Purchase Plan

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world., Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.