Job Description
- Cognizant will screen the CV-based quality before we schedule an interview. We will look specifically for quality Natural Language processing Experience (NLP) in more than one project. The CVs should speak for the candidates qualities, technical, functional, and communications.
Senior Data Scientist II
As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments. You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management. You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators. You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.
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 Client Ops/AI Ops highly preferred
PREFERRED QUALIFICATIONS
•MS in Data Science, Computer Science, Statistics, Machine Learning, or related field
•2+ years of relevant work experience
•Or undergraduate degree in relevant field and 4+ years of relevant work experience Emonics LLC
Job Tags
Contract work, Work experience placement,