Job Description

JOB RESPONSIBILITIES: 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, 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 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.

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