Senior Machine Learning Engineer

Our client is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world.

They help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. They assist corporations in better understanding their markets, monitoring their brands and competition, and in mitigating business risk. They collaborate with universities to educate students, and support nation-building with governments and courts by making laws accessible and strengthening legal infrastructures. They partner with leading global associations and customers to collect evidence against war criminals and provide tools to combat human trafficking.

Role Description:

• 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.

Responsibilities:

• 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:

• 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 at Glorietadel 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, etc.).
• 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 Work in a way that works for you We promote a healthy work/life balance across the organization..

Other Information:

These are some of the benefits we are delighted to offer:

• Private Medical/Dental Plan.
• Savings Fund.
• Life Insurance.
• Meal/Grocery Voucher.
• 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 Working for you.
• We know that your well-being and happiness are key to a long and successful career.