Senior Data Scientist II

hace 2 semanas

Ciudad de México, Ciudad de México LexisNexis Risk Solutions A tiempo completo

About the Role

We are seeking a highly skilled Data Scientist to join our team at LexisNexis Risk Solutions. As a Data Scientist, 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.

Responsibilities

  • Develop and implement LLM-based applications tailored for legal use-cases
  • 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 ML-applications meet domain-specific needs
  • Conduct experiments and evaluate model performance to drive continuous improvements
  • Fine-tune and deploy large language models to enhance their performance on legal text processing tasks
  • Interface with other technical personnel or team members to finalize requirements
  • Work closely with other development team members to understand complex product requirements and translate them into software designs
  • Successfully implement development processes, coding best practices, and code reviews for production environments

Requirements

  • Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications and benchmarking, using frameworks such as LangChain
  • MS in Data Science, Computer Science, Statistics, Machine Learning, or related field or relevant work experience
  • Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, Flair, BERT
  • Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms
  • 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., MySQL, Postgres, Solr, Elasticsearch/OpenSearch)
  • Knowledge of Spark-Scala, 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 including experiment tracking tools like LangFuse and DVC
  • Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working for you

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Savings Fund
  • Life Insurance
  • Meal/Grocery Voucher

About the Business

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: or please contact 1-855-833-5120.

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