Software Engineer II

extra holidays - fully flexible
Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Proficiency in Python and Java programming languages., Experience with Generative AI and Large Language Models (LLMs)., Knowledge of AI/ML frameworks like TensorFlow, PyTorch, and Scikit-learn., Strong understanding of statistical analysis, deep learning, and neural networks..

Key responsibilities:

  • Design, train, and optimize machine learning models for various applications.
  • Deploy ML models into production environments using cloud platforms or on-premises infrastructure.
  • Collaborate with data engineers to build data pipelines for model training and evaluation.
  • Monitor and improve deployed models for accuracy, bias, and drift.

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LexisNexis Large https://www.lexisnexis.com/en-us/about-us/about-us.page
10001 Employees
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Job description

Software Engineer II

Are you interested in bringing your technical expertise to projects?

Are you a detailoriented 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 informationbased 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 onpremises 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 AIML solutions into existing products and workflows.
              • Translate business requirements into technical specifications and actionable AI strategies.
                  • Stay updated with the latest advancements in AIML research and tools.
                  • Experiment with stateoftheart 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 AIML libraries and frameworks: TensorFlow, PyTorch, Scikitlearn, Keras, etc.
                          • Strong understanding of statistical analysis, deep learning, and neural networks.
                          • Familiarity with big data tools: Hadoop, Spark, or Apache Flink.
                          • Handson experience with cloud services such as AWS ECS, EKS, EC2 etc
                          • Excellent problemsolving and analytical thinking abilities.
                          • Strong communication skills to explain complex concepts to nontechnical stakeholders.
                          • Ability to work collaboratively in a fastpaced, 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 opensource AIML projects or publications in relevant conferencesjournals.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication
  • Analytical Thinking
  • Problem Solving

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