Machine Learning Engineer

STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. Drive the future of enterprise AI by designing scalable, real-world solutions that power automation and intelligent decision‑making. This role focuses on building next‑generation AI capabilities across business‑critical platforms and requires both strategic thinking and hands‑on engineering expertise. You will shape architecture, influence technical direction, and accelerate innovation across multiple enterprise initiatives. This is a high‑impact, client‑facing role with strong visibility and leadership responsibilities. Key Responsibilities Design and define end‑to‑end AI/ML architectures across data, middleware, and front‑end layers Lead agent orchestration and development of AI‑powered workflows and chat interfaces using React Build and optimise data pipelines for AI consumption, including extraction, transformation, and modelling Collaborate with stakeholders to translate business needs into scalable AI solutions Develop structured queries and data models using Python and SQL Identify and resolve data performance and scalability challenges Partner with engineering teams to transition architecture into execution Present updates, insights, and technical solutions to stakeholders Qualifications Required: Strong experience with Python and SQL in data‑intensive environments Hands‑on expertise across full‑stack AI systems (frontend, middleware, backend) Experience with agent orchestration and AI‑driven application design Proven ability to build and optimise data pipelines and ETL processes Experience with cloud platforms (Azure preferred; AWS or GCP acceptable) Strong communication skills with client‑facing experience Ability to solve complex data challenges with AI‑driven approaches Preferred (Optional) Experience with tools such as Automation Anywhere, Cursor, Claude, Gemini, or similar Familiarity with enterprise platforms like ServiceNow, Salesforce, or Informatica Knowledge of prompt engineering and AI model integration Experience with MCP tools or orchestration frameworks Medical coverage and Health Savings Account (HSA) through Anthem Dental/Vision/Various Ancillary coverages through Unum 401(k) retirement savings plan Paid‑time‑off options Company‑paid Employee Assistance Program (EAP) Discount programs through ADP WorkforceNow Additional Details The base range for this contract position is $94 - $104 / per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered. #J-18808-Ljbffr