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LexisNexis

Software Engineer II

Posted 9 Days Ago
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In-Office
2 Locations
Senior level
In-Office
2 Locations
Senior level
The Software Engineer II will design and optimize machine learning models, deploy them on cloud platforms, and collaborate with teams on AI solutions.
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Software Engineer II

Are you interested in bringing your technical expertise to projects?
 

Are you a detail-oriented paralegal with a 'can do' attitude?
 

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.
About the Role

This position performs moderate research, design, and software development assignments within a specific software functional area or product line.
 

Responsibilities

  • 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 (AWS) or on-premises infrastructure.
  • Collect, preprocess, and analyze large datasets to extract meaningful insights.
  • Collaborate with data engineers to build robust data pipelines for model training and evaluation.
  • Develop innovative algorithms to solve complex problems
  • Continuously improve model performance through hyperparameter tuning, feature engineering, and experimentation.
  • 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.
  • 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.
  • Monitor deployed models for accuracy, bias, and drift over time.
  • Implement mechanisms for retraining and updating models as needed.

Requirements
 

  • Proficiency in programming languages: Python, Java.
  • Must have worked in Generative AI and proficient in any LLM Model, LangChain
  • 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.
  • Hands-on experience with cloud services such as AWS ECS, EKS, EC2 etc
  • 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.
  • Experience with NLP for text representation, Information Extraction, semantic extraction techniques, data structures and modeling
  • Knowledge of DevOps practices for ML (MLOps).
  • Must have worked in Generative AI and proficient in any LLM Model
  • Familiarity with containerization tools like Docker and Kubernetes.
  • Contributions to open-source AI/ML projects or publications in relevant conferences/journals.

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 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 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, your immediate family, and parents.
  • 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 the home -office - home (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.

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.

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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.

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Top Skills

Apache Flink
AWS
Docker
Hadoop
Java
Keras
Kubernetes
Langchain
Python
PyTorch
Scikit-Learn
Spark
TensorFlow

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