Data Scientist -Raleigh, NC -Day 1 Onsite at Raleigh, North Carolina, USA |
Email: [email protected] |
Hi Team, Greetings from Centraprise, Role: - Data Scientist Location Raleigh, NC -Day 1 Onsite NOTE: LinkedIn & Passport Number Is Must Expectations Interviews: There will be three rounds of hands-on interview (Leetcode/HackerRank). From the first screening to a decision, there will be a gap of one and a half weeks. Cognizant: 1 Round (One Hour 30 mins) 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. 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. 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 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. 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 Thanks & Regards Basavaraj | Talent Acquisition Associate Centraprise Corp 33 Wood Avenue South, Suite 600, Iselin NJ 08830 Desk : 848-209-8309 Email: [email protected] Connect me on LinkedIn: linkedin.com/in/basavaraj-n-methre-720b55223 Donate Red || Save Blue || Spread Green Please call me in EST time only[09:30 AM EST 06:00 PM EST] -- Keywords: artificial intelligence machine learning access management information technology microsoft New Jersey North Carolina Data Scientist -Raleigh, NC -Day 1 Onsite [email protected] |
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07:24 PM 01-Oct-24 |