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AIML Engineer
Job Location:
Job Location:
Washington, DC - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
8 September 2026 (17 hours ago)
Posted:
Application Deadline:
6 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Position Title: IT App Solutions Architect SR/ AI/ML Engineer
Skillset
Key Technical Skills and Responsibilities
***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 Lumens client allowing the user access to the required systems and technology.***
Skillset
Key Technical Skills and Responsibilities
- AI/ML Development: Design and implement supervised and unsupervised models including regression classification clustering time-series forecasting and boosting methods. Build and fine-tune neural networks including CNNs RNNs and LSTMs.
- Modern Code Development: Write efficient maintainable Python code (advanced Python required) using tools like JupyterLab Databricks and VSCode for development and testing. Package and deploy solutions using Docker containers on cloud platforms like AWS and Azure. Use Git for version control and champion SWE best practices.
- Model Management and Deployment: Manage MLOps and full model lifecycle. Serialize and manage models using Pickle Joblib and/or ONNX. Deploy models using FastAPI and serverless functions building secure and scalable endpoints. Create user-facing AI tools using Streamlit and front-end technologies (HTML/CSS/JavaScript).
- Platform Enablement: Databricks expertise to drive platform adoption and accelerate the development of new use cases supporting model automation AutoML and template-based development.
- Hands-on: Advanced data processing visualization and storytelling. Solid background in popular AI/ML open-source libraries including scikit-learn PyTorch pandas polars NumPy seaborn and other libraries for data cleaning feature engineering and visualization.
- Systems Thinking: Approach problems with an end-to-end mindset considering model performance data quality infrastructure user experience and downstream applications. Translate business goals into viable scalable technical solutions.
- Collaboration & Mentorship: Work closely with cross-functional teams and mentor junior engineers and data scientists for the overall improvement of data quality metrics solution accessibility self-service capabilities governance and business adoption of AI/ML best practices.
***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 Lumens client allowing the user access to the required systems and technology.***
Lumen Solutions Group Inc. is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
Required Experience:
IC
