Senior Data Scientist

Cognizant•Raleigh, NC

4h•Hybrid

About The Position

As a Senior Data Scientist, you will make an impact by engineering modern businesses to improve everyday life. You will be instrumental in driving new product development within a collaborative team environment, writing production code in both run-time and build-time environments. You will be a valued member of the AI and Analytics team and work collaboratively with Managers, team members and clients. In this role, you will: · Develop and implement LLM-based applications tailored for in-house legal needs, ensuring they align with Cognizant's commitment to excellence and innovation • Evaluate and maintain our data assets and training/evaluation datasets, ensuring they meet the highest standards of integrity and quality. • Design and build pipelines for preprocessing, annotating, and managing legal document datasets, fostering a customer-centric mindset. • Collaborate with legal experts to understand requirements and ensure models meet domain-specific needs, working as one team. • Conduct experiments and evaluate model performance to drive continuous improvements, raising the bar in all deliverables. • Evaluate AI/ML and GenAI outcomes, both human and automated, to ensure accuracy, reliability, and alignment with business objectives. Work model: Hybrid We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Raleigh, NC. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

Requirements

Strong hands-on experience and foundations in machine learning, including 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 platforms.
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).

Nice To Haves

Knowledge of Scala, Spark, Ray, or other distributed computing systems is highly preferred.
Knowledge of API development, containerization, and machine learning deployment is highly preferred.
Experience with ML Ops/AI Ops is highly preferred.

Responsibilities

Develop and implement LLM-based applications tailored for in-house legal needs, ensuring they align with Cognizant's commitment to excellence and innovation
Evaluate and maintain our data assets and training/evaluation datasets, ensuring they meet the highest standards of integrity and quality.
Design and build pipelines for preprocessing, annotating, and managing legal document datasets, fostering a customer-centric mindset.
Collaborate with legal experts to understand requirements and ensure models meet domain-specific needs, working as one team.
Conduct experiments and evaluate model performance to drive continuous improvements, raising the bar in all deliverables.
Evaluate AI/ML and GenAI outcomes, both human and automated, to ensure accuracy, reliability, and alignment with business objectives.