Applied AI/ML [Multiple Positions Available]

DESCRIPTION:

Duties: Execute artificial intelligence (AI) and machine learning (ML) software solutions.

Perform design, development, and technical troubleshooting to build solutions and break down technical problems.

Create secure production applications and maintain AI algorithms that run synchronously with appropriate systems.

Produce ML and GenAI architecture components and design artifacts for applications, ensuring that design constraints are met by software application development.

Gather analysis, and synthesize and develop models, integrations, visualizations, and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.

Identify hidden problems and patterns in data and use insights to drive improvements to ML model pipelines, application hygiene, and system architecture.

Contribute to Al, ML, and software engineering communities of practice and events that explore new and emerging technologies.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Computer Science, Computer Engineering, Information Technology, Data Science, or related field of study plus 3 years of experience in the job offered or as Applied AI/ML, Software Engineer, IT Consultant, or related occupation.

The employer will alternatively accept a Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Data Science, or related field of study plus 5 years of experience in the job offered or as Applied AI/ML, Software Engineer, IT Consultant, or related occupation.

Skills Required: This position requires three (3) years of experience with the following: Programming machine learning solutions using Python; Developing software across front-end and back-end systems using cloud services such as AWS or Azure; Developing and deploying AI/ML solutions using Kubernetes, Terraform, Docker, and AWS Cloud Services including EKS, ECS, SNS, SQS, and S3; Implementing CI/CD pipelines using agile development frameworks; Building scalable developer and business-facing financial applications using Java; Building and optimizing regression and classification models using scikit-learn, XGBoost, and decision trees; Developing personalized recommendation engines using collaborative and content-based filtering; Performing feature engineering, label engineering, data cleaning, and exploratory data analysis for machine learning readiness; Executing natural language processing using text classification, sentiment analysis, and entity extraction.

This position requires one (1) year of experience with the following: Building developer and content generation platforms using front-end plugins, logging systems, alerting, and monitoring tools; Designing machine learning and neural search applications using microservice architecture, vector databases, and context engineering including semantic similarity, BM25, and OpenSearch; Applying AI and ML governance frameworks and compliance standards su...