AI/ML Architect

  • Washington, DC
  • Posted 13 hours ago | Updated 13 hours ago

Overview

Hybrid
$60+
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Supervised ML
Unsupervised ML
Regression
Classification
Clustering
Time-series forecasting
Boosting methods
CNNs
RNNs
LSTMs
Generative AI
LLMs
Foundation models
Prompt engineering
Fine-tuning (LoRA
PEFT)
Model performance optimization
Model latency optimization
Model cost optimization
Advanced Python
JupyterLab
VSCode
Docker
Kubernetes
AWS
Azure
Git
Software engineering best practices
MLOps
Full model lifecycle management
Pickle
Joblib
ONNX
FastAPI
Serverless functions
Streamlit
HTML
CSS
JavaScript
Databricks
Data processing
Data visualization
Data storytelling
scikit-learn
PyTorch
pandas
polars
NumPy
seaborn
Feature engineering
Data cleaning
Systems thinking
Cross-functional collaboration
Mentorship
AutoML
Template-based development
User-facing tool creation
Storytelling with data
Governance
Improving data quality metrics
Supporting AI/ML adoption.

Job Details

Job Title: AI/ML Architect
Location: Washington DC / Hybrid
Duration: 12+ Months

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.

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.

About IDEXCEL, INC
Idexcel is an IT services organization, with a mission to bring great people and great organizations together. Our diverse client base represents a wide range of industries, including technology, telecom, insurance, healthcare, manufacturing, banking & financial services, food & commodities trading and federal organizations. Our teams of experienced recruiters directly work with client companies seeking exceptional people to help with their business initiatives. Idexcel, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law.

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