Do you have exceptional data capabilities?

Would you like to join a Global leader in Legal Analytics and Technology?

Role Overview

The Machine Learning Engineer develops, deploys, and maintains scalable AI/ML solutions that meet production standards. They turn data science prototypes into reliable, production-ready services, automate MLOps workflows, and build tools and infrastructure for model training and inference. This role requires strong software engineering, DevOps, and cloud skills, as well as experience with NLP, search technologies, vector, and graph databases, and modern MLOps platforms.

Responsibilities:

• Finalizing requirements by collaborating with other technical personnel or team members.

• Writing and reviewing portions of detailed specifications for the development of AI/ML-driven software and systems.

• Completing complex bug fixes across ML pipelines, data workflows, and production systems

• Translating complex product requirements into software designs including LLM based and agent-driven architectures

• Implementing development processes, coding best practices, and code reviews.

• Resolving complex technical issues is necessary.

• Develop and implement LLM-based and Generative AI applications (e.g., RAG systems).

• Develop and integrate agent skills (tool usage, planning, reasoning, memory), ensuring reliability and robustness in production.

• Integrate models and AI agents with existing systems and APIs.

• Collaborate with cross-functional teams to define, design, and ship new features.

• Document development processes, code, and APIs.

• Monitor, evaluate, and improve model and agent performance

Requirements:

• Have a bachelor’s degree in computer science, or a related field or equivalent experience.

• At least 5-7 years’ experience in Software / Machine Learning Engineering

• Be willing to keep abreast of new technological developments.

• Experience working with complex data models.

• Possess good oral and written communication skills.

• Excellent problem-solving skills and the ability to think outside the box.

• Proven experience building and deploying LLM / Generative AI solutions in production environments

• Strong knowledge of API integration and microservices-based architectures.

• Ability to work collaboratively in an agile team environment.

• Experience working with SQL, data modelling, ML algorithms, and evaluation techniques.

• Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).

• Experience with cloud platforms such as AWS, GCP, and Azure; Familiar with CI/CD

• Strong coding skills in Python or another programming language (Go, Rust, etc.).

• Experience in the following areas will be highly advantageous:

  • NLP (text preprocessing, topic modeling, classification, sentiment analysis)

  • Experience with agent frameworks (e.g., LangChain, ADK, LlamaIndex), RAG, vector databases, and embeddings

  • CI/CD (Jenkins, Azure DevOps, GitHub Actions)

  • Spark / Databricks

Work in a way that works for you

We promote a healthy work/life balance across the organisation. 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 for you:

"We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

•      Medical and Life Insurance: Coverage for Medical and life risk.

•      Long-Service Award: Recognition for loyalty and dedication.

•      Marriage and New Baby Gifts: Celebratory tokens for special life events.

•      Festivals and Birthday Gifts: Spreading joy on occasions that matter.

•      Annual Medical Check-up: Prioritizing employee well-being through regular health check-ups.

•      Flexible Benefits via CIIC Platform: Personalized benefits accessible through a user-friendly platform.

•      Paid Time Off: Annual Leave, Flex Family Care Leave, Birthday Leave, Marriage Leave, Compassionate Leave, Medical and Hospitalization Leave, Examination Leave Gazetted Public Holiday

•      Family Care leave (Maternity/Paternity Leave and Adoption Leave)"

About the Business

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.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights.