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Senior Machine Learning Engineer II

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics, serving customers in more than 150 countries.
Machine Learning
Senior Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Legal Tech

Job Description

LexisNexis Legal & Professional, a RELX company, is seeking a Senior Machine Learning Engineer II to join their innovative AI team. This role focuses on developing LLM applications and working with cutting-edge AI technologies to transform legal research. The position offers a unique opportunity to work with both proprietary and open-source models, implementing RAG-based applications and working with vector databases. The ideal candidate will collaborate with data scientists and engineers to create production-ready AI solutions that serve customers in over 150 countries. The role combines technical expertise in machine learning, big data, and software engineering with the opportunity to impact the legal technology sector. Based in Mexico City with a hybrid work arrangement, the position offers comprehensive benefits and the chance to work with a global leader in legal analytics and information services. The company's commitment to work-life balance, professional development, and inclusive culture makes this an attractive opportunity for experienced ML engineers looking to make a significant impact.

Last updated 5 days ago

Responsibilities For Senior Machine Learning Engineer II

  • Building standalone applications that interact with LLM models
  • Building RAG-based applications
  • Working with Vector DBs like Solr for LLM based applications
  • Integrating models with existing systems and APIs
  • Implementing production quality ETL jobs
  • Preprocessing and managing data for training and deployment
  • Collaborating with cross-functional teams
  • Writing clean, maintainable, and efficient code
  • Documenting development processes, code, and APIs

Requirements For Senior Machine Learning Engineer II

Python
Kubernetes
  • Degree in Computer Science, Data Science, or related field
  • Mexico City–based, available to work onsite 2 days per week
  • Proven experience in building customer facing ML based APIs
  • Experience in developing applications scalable to handle TBs of data
  • Strong knowledge of API integration (RESTful, GraphQL)
  • Experience with data preprocessing, SQL, NoSQL databases and vector stores
  • Familiarity with deployment tools (Docker, Kubernetes)
  • Experience with DevOps tools like Jenkins, Terraform
  • Experience with Spark/Hadoop, EMR or Big Data technology
  • Excellent problem-solving and communication skills

Benefits For Senior Machine Learning Engineer II

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
  • Private Medical/Dental Plan
  • Savings Fund
  • Life Insurance
  • Meal/Grocery Voucher
  • Flexible working hours
  • Parental leave
  • Study assistance
  • Sabbaticals

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