Senior Software Engineer II
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 the Business:
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com.
About our Team:
ML automation engineer for AI Squad in ITTC
About the Role:
We are seeking a highly skilled and motivated individual to join our team as a Machine Learning Training Automation Specialist. This role involves developing and implementing automated solutions to streamline the process of training machine learning models. The ideal candidate will have a strong background in machine learning, software development, and automation techniques. This position offers an exciting opportunity to work on cutting-edge technologies and contribute to the advancement of our machine learning initiatives.
Responsibilities:
Create robust automated pipelines for training machine learning models, integrating data preprocessing, model training, evaluation, and deployment stages.
Implement algorithms and techniques to optimize model training processes, including hyperparameter tuning, model selection, and feature engineering automation.
Develop monitoring tools and processes to track the performance of deployed models, identify issues, and implement corrective actions.
Document automated processes, algorithms, and infrastructure setups, and generate reports to communicate key findings and insights to stakeholders.
Collaborate with cross-functional teams including data scientists, software engineers, and domain experts to understand requirements, design solutions, and integrate automated processes into existing workflows.
Keep abreast of the latest advancements in machine learning, automation techniques, and related technologies, and propose innovative solutions to improve efficiency and effectiveness.
Requirements: -
Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or related field.
Proven experience in developing and deploying machine learning models in production
environments, with a focus on automation.
Proficiency in Java programming languages and familiarity with machine learning libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn.
Strong understanding of software development principles, including version control systems (e.g., Git), software testing, and debugging.
Experience with cloud computing platforms such as Azure or AWS Platform, and containerization technologies (e.g., Docker, Kubernetes).
Excellent problem-solving skills, with the ability to analyze complex problems, propose effective solutions, and implement them in a timely manner
Learn more about the LexisNexis Risk team and how we work here
#LI-MC1
#LI-Hybrid
At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.
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. 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: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.
Please read our Candidate Privacy Policy.
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