What are the responsibilities and job description for the Sr. Data Scientist - Gen AI (Hybrid) position at Cognizant?
Job Responsibilities
Applications will be accepted until 12/08/2025
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Develop and implement LLM-based applications tailored for in-house legal
- Fine-tune and deploy large language models to enhance their performance on legal text processing tasks
- Evaluate and help maintain our data assets and training/evaluation data sets
- Design and build pipelines for preprocessing, annotating, and managing legal document datasets
- Collaborate with legal experts to understand requirements and ensure models meet domain-specific needs
- Conduct experiments and evaluate model performance to drive continuous improvements
- Interface with other technical personnel or team members to finalize requirements.
- Work closely with other development team members to understand moderately complex product requirements and translate them into software designs.
- Successfully implement development processes, coding best practices, and code reviews for production environments.
- Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms
- Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers.
- Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERT
- Practical experience with large language models, prompt engineering, fine-tuning and benchmarking, using frameworks such as LangChain and LlamaIndex
- Strong Python background
- Knowledge of AWS, GCP, Azure, or other cloud platform
- Understanding of data modeling principles and complex data models.
- Proficiency with relational and NoSQL databases as well as vector stores (e.g., Postgres, Elasticsearch/OpenSearch, ChromaDB)
- Knowledge of Scala, Spark, Ray, or other distributed computing systems highly preferred
- Knowledge of API development, containerization, and machine learning deployment highly preferred
- Experience with ML Ops/AI Ops highly preferred
Applications will be accepted until 12/08/2025
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
- Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
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
Salary : $120,000 - $160,000