Senior Machine Learning Engineer

Are you excited to collaborate with data scientists and engineers to create seamless, production-ready LLM applications?

Would you like to be part of a team that’s redefining legal research through AI, Lang Chain, and cutting-edge data visualization?

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.

We are looking for a skilled LLM Application Developer to join our team. You will be working closely with the Data Scientists and be responsible for implementing large language models (LLMs) based applications, working with proprietary and open-source models as well as popular frameworks such as Lang Chain to ensure seamless integration and deployment.

• Building standalone applications that interact with LLM models
• Building RAG-based applications
• Understanding of Vector DBs like Solr for LLM based applications
• Integrate models with existing systems and APIs
• Preprocess and manage data for training and deployment
• Collaborate with cross-functional teams to define, design, and ship new features
• Write clean, maintainable, and efficient code
• Document development processes, code, and APIs

• Degree in Computer Science, Data Science, or related field
• Proven experience in building customer facing ML based APIs
• If you live in Mexico City (or nearby), available to work onsite 2 days per week at Glorieta del Ahuehuete, Reforma
• Experience in developing applications that are scalable to handle TBs of data
• Strong knowledge of API integration (RESTful, GraphQL)
• Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch/OpenSearch)
• Familiarity with deployment tools (Docker, Kubernetes)
• Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates is highly preferred
• Excellent problem-solving and communication skills
• Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus
• Experience working on agents is considered a good-to-have
• Familiarity with agents, even through courses

We promote a healthy work/life balance across the organization. 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 flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

• Savings Fund
• Life Insurance
• Meal/Grocery Voucher

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.

Mid‑Senior level

Full‑time

Analyst, Engineering, and Information Technology

Technology, Information and Media, Climate Data and Analytics, and Data Infrastructure and Analytics

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