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Data Scientist

2 months ago

Canada, CA Zyxware Technologies Full time

Title: Data Scientist - NLP and ML

Location: USA, Remote

Contract: 4+ Months


Primary Skill: NLP and ML

Secondary Skill: GenAI


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 ML 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