Software Engineer II

This job is with LexisNexis Legal & Professional®, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Would you like to be part of a team that delivers high-quality software to our customers?

Are you a highly visible champion with a 'can do' attitude and enthusiasm that inspires others?

About Our Team

LexisNexis Legal & Professional, serving 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 is a 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 creators for each legal use case.

About The Role

We are seeking a talented and motivated AI/ML Engineer to design, develop, and deploy scalable machine learning models and AI-driven solutions. The ideal candidate will have hands-on experience in building algorithms, working with large datasets, and implementing AI/ML systems that deliver measurable business value.

Responsibilities

• Model Development & Deployment: Design, train, and optimize machine learning models for various applications such as predictive analytics, natural language processing (NLP), computer vision, or recommendation systems. Deploy ML models into production environments using cloud platforms or on-premises infrastructure.
• Data Engineering & Analysis: Collect, preprocess, and analyze large datasets to extract meaningful insights. Collaborate with data engineers to build robust data pipelines for model training and evaluation.
• Algorithm Design & Optimization: Develop innovative algorithms to solve complex problems. Continuously improve model performance through hyperparameter tuning, feature engineering, and experimentation.
• Cross-Functional Collaboration: Work closely with architects, engineering managers, product managers, software developers, and domain experts to integrate AI/ML solutions into existing products and workflows. Translate business requirements into technical specifications and actionable AI strategies.
• Research & Innovation: Stay updated with the latest advancements in AI/ML research and tools. Experiment with state-of-the-art techniques and frameworks to enhance solution capabilities.
• Monitoring & Maintenance: Monitor deployed models for accuracy, bias, and drift over time. Implement mechanisms for retraining and updating models as needed.
  
  

Requirements

We're looking for someone with:

• 2-4 years of experience in AI/ML development.
• Proven track record of delivering successful AI/ML projects.
  
  

Education

• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field, or equivalent experience.
  
  

Technical Skills

• Proficiency in programming languages: Python, Java.
• Experience with AI/ML libraries and frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, etc.
• Strong understanding of statistical analysis, deep learning, and neural networks.
• Familiarity with big data tools: Hadoop, Spark, or Apache Flink.
  
  

Cloud Platforms

• Hands-on experience with cloud services such as AWS ECS, EKS, EC2 etc.
  
  

Soft Skills

• Excellent problem-solving and analytical thinking abilities.
• Strong communication skills to explain complex concepts to non-technical stakeholders.
• Ability to work collaboratively in a fast-paced, agile environment.
  
  

Preferred Skills

• Experience with NLP for text representation, Information Extraction, semantic extraction techniques, data structures and modeling.
• Knowledge of DevOps practices for ML (MLOps).
• Familiarity with containerization tools like Docker and Kubernetes.
• Contributions to open-source AI/ML projects or publications in relevant conferences/journals.
  
  

Working in a Way that Works for You

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With various 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

Benefits

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:

• Comprehensive Health Insurance: Covers you and your immediate family.
• Enhanced Health Insurance Options: Competitive rates negotiated by the company.
• Group Life Insurance: Ensuring financial security for your loved ones.
• Group Accident Insurance: Extra protection for accidental death and permanent disablement.
• Flexible Working Arrangement: Achieve a harmonious work-life balance.
• Employee Assistance Program: Access support for personal and work-related challenges.
• Medical Screening: Your well-being is a top priority.
• Modern Family Benefits: Maternity, paternity, and adoption support.
• Long-Service Awards: Recognizing dedication and commitment.
• New Baby Gift: Celebrating the joy of parenthood.
• Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates.
• Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.
• Free Transport pick up and drop from home to office and back (applies in Chennai).
  
  

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.

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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.

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