Overview
On Site
USD 75,000.00 - 140,000.00 per year
Full Time
Skills
Evaluation
Management
Collaboration
Legal
Product Requirements
Training
Clustering
Algorithms
Deep Learning
Natural Language Processing
TensorFlow
Keras
PyTorch
BERT
Large Language Models (LLMs)
Prompt Engineering
Benchmarking
LangChain
LlamaIndex
Python
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Cloud Computing
Data Modeling
NoSQL
Database
PostgreSQL
Elasticsearch
Scala
Apache Spark
Distributed Computing
API
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Artificial Intelligence
Life Insurance
Law
Job Details
JOB RESPONSIBILITIES:
REQUIREMENTS:
Salary and Other Compensation:
Applications will be accepted until Oct 25, 2025.
The annual salary for this position is between $75,000 - $140,000 depending on experience and other qualifications of the successful candidate.
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
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.
- 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.
REQUIREMENTS:
- 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, Google Cloud Platform, 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
Salary and Other Compensation:
Applications will be accepted until Oct 25, 2025.
The annual salary for this position is between $75,000 - $140,000 depending on experience and other qualifications of the successful candidate.
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
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.