Senior Machine Learning Engineer I
Job Description
LexisNexis Legal & Professional, part of RELX, is seeking a Senior Machine Learning Engineer to join their innovative team. The role focuses on implementing large language models (LLMs) applications and working with cutting-edge AI technologies. As a global leader serving customers in over 150 countries with 11,800 employees, LexisNexis has pioneered AI deployment in the legal market.
The position involves close collaboration with Data Scientists to develop and implement LLM-based applications, working with both proprietary and open-source models. The role requires expertise in frameworks like Lang Chain and various vector databases. Based in Mexico City, this hybrid position offers an opportunity to work on transformative legal tech solutions.
The ideal candidate should have a Computer Science or Data Science degree, with proven experience in building customer-facing ML APIs. Strong knowledge of API integration, data preprocessing, and familiarity with deployment tools is essential. The role offers comprehensive benefits including private medical/dental plans, savings fund, life insurance, and meal vouchers.
This is an excellent opportunity for a skilled professional to join a company that's redefining legal research through AI and cutting-edge data visualization. The position offers flexible working hours and promotes a healthy work/life balance, with various wellbeing initiatives and professional development opportunities.
Working at LexisNexis means being part of a digital pioneer that brought legal and business information online through its Lexis® and Nexis® services. The company is committed to advancing the rule of law worldwide while providing innovative solutions to improve productivity and decision-making in the legal sector.
Responsibilities For Senior Machine Learning Engineer I
- 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
- Implement production quality ETL jobs
- 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
Requirements For Senior Machine Learning Engineer I
- Degree in Computer Science, Data Science, or related field
- Proven experience in building customer facing ML based APIs
- Mexico City–based (or nearby), available to work onsite 2 days per week
- 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
- Familiarity with deployment tools (Docker, Kubernetes)
- Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates
- Excellent problem-solving and communication skills
Benefits For Senior Machine Learning Engineer I
- Private Medical/Dental Plan
- Savings Fund
- Life Insurance
- Meal/Grocery Voucher
- Flexible working hours
- Parental leave
- Study assistance
- Sabbaticals
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