Senior Machine Learning Engineer I
Job Description
LexisNexis Legal & Professional, a RELX company, is seeking a Senior Machine Learning Engineer to join their innovative team working on AI-powered legal research solutions. This role combines cutting-edge LLM technology with practical legal applications, offering a unique opportunity to work with both proprietary and open-source models.
The position involves building and implementing large language model (LLM) applications, working with frameworks like Lang Chain, and ensuring seamless integration with existing systems. You'll be responsible for developing scalable solutions that can handle terabytes of data while maintaining high performance and reliability.
The ideal candidate will have strong technical skills in machine learning, data processing, and software engineering, with experience in building customer-facing ML-based APIs. Knowledge of vector databases, modern deployment tools, and big data technologies is essential. The role requires collaboration with data scientists and cross-functional teams to design and implement new features.
This hybrid position is based in Mexico City, requiring 2 days per week in the office. The company offers comprehensive benefits including medical/dental coverage, life insurance, and flexible working arrangements. As part of a global leader in legal information services with 11,800 employees worldwide, you'll have the opportunity to work on projects that transform the legal industry through AI innovation.
The role combines technical challenges with real-world impact, making it ideal for engineers passionate about applying ML/AI in practical, industry-changing ways. You'll be part of a company with a strong track record in AI deployment and a commitment to ethical AI solutions 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
- Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus
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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