Artificial Intelligence/Machine Learning Engineer

Job Description:

Evaluate emerging AI trends, tools, and vendor solutions against business use-cases.

Run proof-of-concepts (PoCs) to test feasibility of new ideas.

Design and build applications and AI/ML models tailored to specific use cases (e.g., predictive analytics, natural language processing, computer vision) prioritized for the AI Program.

Create scalable AI pipelines that can be integrated into existing systems.

Collaborate with data, engineering, and software development teams.

Possesses raw knowledge and skillset through coursework with some hands-on work experience in the following areas:

- Strong Python, familiarity with Java / C++ / Go for production environments
- Object-oriented programming & design patterns
- Unit testing, CI/CD, Git, containerization (Docker)
- Data pipelines (Airflow, Prefect, or cloud-native equivalents)
- Model deployment (REST APIs, gRPC, serverless), monitoring, and versioning
- AWS / Azure / GCP / OCI AI services
- Cloud-native training/inference environments (SageMaker, Vertex AI, Azure ML)
- Kubernetes for scalable inference

Preferred Skills and Qualifications N/A

Eligibility to Work: Vendor must ensure Resources retain the authorization to legally work in the United States throughout the term of each engagement based on the length of term period identified in the contract. Documentation of such authorizations must be provided prior to engagement.

***Lumen and / or its clients will not provide equipment (Laptop, monitor, etc.) to the selected contractor. The contractor must have their own equipment. Access to a virtual desktop set up (software) will be provided by Lumen s client, allowing the user access to the required systems and technology.***