Senior AI Engineer - ML & Generative AI

VDart, Inc.

Sunrise, FL, United States

about 1 month ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Microsoft Azure Distributed Systems Python (Programming Language) Node.Js Software Engineering Management of Software Versions Cloud Platform System Generative AI Backend

+4 more

Containerization Kubernetes Deployment Automation Docker

Requirements

8-12 years of overall software engineering experience, including prior work as an ML Engineer or equivalent.
Strong backend development skills (Python, Java, Node.js, or similar languages).
Experience designing and building REST or gRPC-based services.
Solid understanding of distributed system design.
Containerization and orchestration experience (Docker, Kubernetes).
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
Experience with CI/CD pipelines and deployment automation.
Understanding of model, code, and configuration versioning best practices.
Strong ability to solve ambiguous, real-world engineering problems.
Comfortable working in fast-moving, iterative environments.

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Benefits & conditions

Partner with business and product stakeholders to translate real-world problems into practical AI solutions.
Determine when to apply:
Traditional ML approaches (classification, regression, clustering, recommendation systems)
LLM / GenAI approaches, including agentic workflows
Evaluate and communicate trade-offs across accuracy, cost, latency, scalability, and operational complexity.
Design iterative AI workflows and propose alternative solution approaches where applicable.