Overview
On Site
Hybrid
BASED ON EXPERIENCE
Contract - W2
Contract - Independent
Skills
Regression Analysis
Clustering
Time Series
Forecasting
Generative Artificial Intelligence (AI)
Prompt Engineering
Python
Testing
Docker
Kubernetes
Cloud Computing
Amazon Web Services
Microsoft Azure
Git
Version Control
Software Engineering
Machine Learning Operations (ML Ops)
Management
HTML
Cascading Style Sheets
JavaScript
Databricks
Use Cases
Data Processing
Open Source
scikit-learn
PyTorch
Pandas
NumPy
Data Cleansing
Visualization
User Experience
Collaboration
Mentorship
Data Quality
Accessibility
Artificial Intelligence
Machine Learning (ML)
SANS
Laptop
Virtual Desktop
Job Details
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 Lumen s client, allowing the user access to the required systems and technology.***
Skillset:
Key Technical Skills and Responsibilities
- AI/ML Development: Design and imple ment 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.
- Generative AI: Develop and integrate solutions powered by LLMs and open-source foundation models. Evaluate and optimize model performance, latency, and cost. Stay current with advances in foundation models, prompt engineering, fine-tuning techniques (LoRA, PEFT), and model safety practices.
- Modern Code Development: Write efficient, maintainable Python code (advanced Python required), using tools like JupyterLab and VSCode for development and testing. Package and deploy solutions using Docker and Kubernetes 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 Lumen s 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.