Machine Learning/Ai

WHO WE ARE:Founded in 2007, DTI (Diversified Technology, Inc.) is a successful African American owned IT Consulting/Staffing firm based in Chicago's Loop.WHAT WE DO:We focus on providing delivery, staffing, and supported services such as enterprise integration/implementations including, but not limited to, CRM, EAM, ERP, PMO, and QA. We service clients in SLED (state/local gov't & education), financial services, fortune, public utility, as well as regularly partnering with Big 4 SI partners. Are you a Machine Learning/AI looking for your next contract? If so, we want to speak to you! DTI has an immediate need for a Machine Learning/AI resource for a 10+ Months remote contract.Must work on our W2Description: You will deliver machine learning and artificial intelligence solutions to support the analytical and automation needs of the client project team. Develop, train, and implement machine learning and AI models using relevant data sources. Apply techniques such as natural language processing, computer vision, or predictive analytics as needed for project objectives. Conduct data preprocessing, feature selection, and model evaluation to ensure solution quality. Deploy AI-driven applications and monitor their ongoing performance in production environments. Document methodologies and collaborate with technical team members to align solutions with project requirements.Primary Skill Required for the Role: Node.JSLevel Required for Primary Skill: Advanced (6-9 years' experience)Additional Details for Role:

• Need Applied ML Engineer to design, deploy, and operationalize machine-learning models that power the Decision Engine, enabling intelligent selection of the most relevant decision using real-time and historical data.
• This role focuses on building and integrating Python-based ML models (e.g., propensity, ranking, uplift, or optimization models), serving models via low-latency APIs, and integrating with feature stores, streaming pipelines (Kafka or equivalent), and decisioning services built in Node.js and/or Python. The ideal candidate has strong experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), MLOps practices (model versioning, monitoring, retraining), and understands explainability, bias, and guardrails in regulated environments.
• The engineer will collaborate closely with data engineers, rules engineers, and backend teams to ensure models are reliable, observable, and safely embedded into production decision workflows at scale

Pay rate: $61.38/hr depending on experiencePlease click on the link below for our company benefits https://docs.google.com/document/d/1q2mHf0U1akaC1ZKC65-VyyG3FrKBGNCahx3WpS2mj7M/edit?usp=sharingDTI is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, gender identity, sexual orientation, national origin, ancestry, age, disability, marital status, veteran status, or any other protected characteristic under Illinois state or federal law. All qualified applicants are encouraged to apply, and employment decisions are based solely on merit, qualifications, and business needs.