AI/ML Engineer

  • Washington, DC
  • Posted 1 day ago | Updated 1 day ago

Overview

Hybrid
$50+
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Machine Learning (ML)
Artificial Intelligence
Generative Artificial Intelligence (AI)
Machine Learning Operations (ML Ops)
NumPy
PyTorch
Python
scikit-learn
Git
Pandas
Data Cleansing
Data Processing
HTML
JavaScript
polars
seaborn
visualization
AI/ML
JupyterLab
VSCode
LoRA
PEFT
LLMs
CNNs
RNNs
LSTMs
ONNX
Pickle
Joblib
FastAPI
AutoML

Job Details

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

Key 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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