JPS Tech Solutions
Lead AI/ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead AI/ML Engineer on a W2 contract in Washington, DC, offering compensation based on experience. Key skills include expertise in machine learning, generative AI, Python, Docker, and cloud platforms. Mentoring experience is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
January 7, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
District of Columbia, United States
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🧠 - Skills detailed
#HTML (Hypertext Markup Language) #Cloud #Pandas #FastAPI #API (Application Programming Interface) #JavaScript #Python #NumPy #AI (Artificial Intelligence) #Forecasting #Visualization #Streamlit #Kubernetes #Jupyter #Version Control #Data Processing #AWS (Amazon Web Services) #Scala #ML (Machine Learning) #Unsupervised Learning #Databricks #Docker #Classification #GIT #Automation #Supervised Learning #Neural Networks #Regression #Storytelling #PyTorch #Azure #Deployment #Clustering
Role description
Job Category: Engineer
Job Type: Hybrid
Job Location: District of Columbia Washington
Compensation: Depends on Experience
W2: W2-Contract Only; Kindly note that applications on a C2C basis will not be considered for this role.
Job Description
Job Description:
Our client in Washington, DC is seeking a highly skilled and hands-on Lead AI/ML Engineer to drive the design, development, and deployment of advanced machine learning and generative AI solutions. This role will serve as a technical leader, guiding cross-functional teams in building scalable, high-performing AI/ML systems across a modern cloud-native environment. The ideal candidate will bring deep expertise in supervised/unsupervised learning, MLOps, large language models, and modern coding practices, while also mentoring junior engineers and shaping platform-wide AI capabilities.
Key Responsibilities
• Design and implement machine learning models including regression, classification, clustering, time-series forecasting, and boosting algorithms
• Build and optimize neural networks (CNNs, RNNs, LSTMs) for diverse data and use cases
• Develop and integrate Generative AI solutions using LLMs and foundation models; apply techniques like prompt engineering, LoRA, and PEFT
• Write advanced, production-grade Python code; develop in JupyterLab and VSCode
• Deploy solutions using Docker, Kubernetes, and cloud platforms (AWS, Azure); manage version control with Git
• Manage the end-to-end ML lifecycle including model serialization (Pickle, Joblib, ONNX), API deployment with FastAPI, and serverless infrastructure
• Build internal tools and AI interfaces using Streamlit and modern front-end technologies (HTML/CSS/JavaScript)
• Champion Databricks adoption to enable AutoML, pipeline automation, and scalable development
• Perform robust data processing, visualization, and storytelling using tools like pandas, polars, NumPy, scikit-learn, seaborn, and PyTorch
• Mentor junior team members, foster self-service AI/ML capabilities, and collaborate across teams to align technical solutions with business goals
Apply Online
Your Name
• Your Phone Number
• Your Email Address
• Job Id
• JPS-5088
What is your current visa status?
• Select
Enter Other Valid Visa
W2 or C2C
• Select
Where are you currently located at?
• How many years of relevant experience you have?
• Do you require h1b sponsorship?
• Select
Upload Resume
• Choose a file
No file chosen.
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Job Category: Engineer
Job Type: Hybrid
Job Location: District of Columbia Washington
Compensation: Depends on Experience
W2: W2-Contract Only; Kindly note that applications on a C2C basis will not be considered for this role.
Job Description
Job Description:
Our client in Washington, DC is seeking a highly skilled and hands-on Lead AI/ML Engineer to drive the design, development, and deployment of advanced machine learning and generative AI solutions. This role will serve as a technical leader, guiding cross-functional teams in building scalable, high-performing AI/ML systems across a modern cloud-native environment. The ideal candidate will bring deep expertise in supervised/unsupervised learning, MLOps, large language models, and modern coding practices, while also mentoring junior engineers and shaping platform-wide AI capabilities.
Key Responsibilities
• Design and implement machine learning models including regression, classification, clustering, time-series forecasting, and boosting algorithms
• Build and optimize neural networks (CNNs, RNNs, LSTMs) for diverse data and use cases
• Develop and integrate Generative AI solutions using LLMs and foundation models; apply techniques like prompt engineering, LoRA, and PEFT
• Write advanced, production-grade Python code; develop in JupyterLab and VSCode
• Deploy solutions using Docker, Kubernetes, and cloud platforms (AWS, Azure); manage version control with Git
• Manage the end-to-end ML lifecycle including model serialization (Pickle, Joblib, ONNX), API deployment with FastAPI, and serverless infrastructure
• Build internal tools and AI interfaces using Streamlit and modern front-end technologies (HTML/CSS/JavaScript)
• Champion Databricks adoption to enable AutoML, pipeline automation, and scalable development
• Perform robust data processing, visualization, and storytelling using tools like pandas, polars, NumPy, scikit-learn, seaborn, and PyTorch
• Mentor junior team members, foster self-service AI/ML capabilities, and collaborate across teams to align technical solutions with business goals
Apply Online
Your Name
• Your Phone Number
• Your Email Address
• Job Id
• JPS-5088
What is your current visa status?
• Select
Enter Other Valid Visa
W2 or C2C
• Select
Where are you currently located at?
• How many years of relevant experience you have?
• Do you require h1b sponsorship?
• Select
Upload Resume
• Choose a file
No file chosen.
Facebook X LinkedIn WhatsApp
