

American Unit, Inc
Machine Learning Engineer - Need Locals (McLean, VA/New York, NY)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer in McLean, VA/New York, NY, for 12+ months at a pay rate of "unknown." Candidates must have 5+ years of experience, strong skills in Python, Scala, AWS, Kubernetes, and ML frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
January 13, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
McLean, VA
-
🧠 - Skills detailed
#Automation #ML (Machine Learning) #Python #Data Pipeline #AWS (Amazon Web Services) #Data Processing #Scala #PyTorch #Keras #TensorFlow #Transformers #Kubernetes #"ETL (Extract #Transform #Load)" #Data Engineering
Role description
Machine Learning Engineer
McLean, VA/New York, NY
12+ Months
Need only locals
Job Description:
Team Info:
• ML Decisioning team
• Team is data engineers with a data pipeline for building Data pipelines. Taking up ML training pipelines.
• To own end-to-end ML engineering
• Core focus is really to help with the operations of ML Pipelines
• He will be doing continued automation MLOps
• Scaling entire infrastructure for Customer acquisition as Capital One has acquired Discover Financial Services.
Role Info:
• Looking for a Machine Learning Engineer with strong Python, Scala, AWS, Kubernetes & machine learning frameworks.
• 80% of model Engineering work & 20% of operations work
• Email arbitration with real-time data processing.
• Has a model in the Random Forest model and is moving to transformers soon in feature development.
Top Skills:
• 5+ years of exp. in Machine Learning Engineer
• Python exp. is a must.
• Scala exp. is a must.
• ML Frameworks (TensorFlow, PyTorch, Scikit-learn & Keras) experience is a must.
• AWS exp. is a must.
• Kubernetes exp. is a must.
• Experience with CI/CD
Machine Learning Engineer
McLean, VA/New York, NY
12+ Months
Need only locals
Job Description:
Team Info:
• ML Decisioning team
• Team is data engineers with a data pipeline for building Data pipelines. Taking up ML training pipelines.
• To own end-to-end ML engineering
• Core focus is really to help with the operations of ML Pipelines
• He will be doing continued automation MLOps
• Scaling entire infrastructure for Customer acquisition as Capital One has acquired Discover Financial Services.
Role Info:
• Looking for a Machine Learning Engineer with strong Python, Scala, AWS, Kubernetes & machine learning frameworks.
• 80% of model Engineering work & 20% of operations work
• Email arbitration with real-time data processing.
• Has a model in the Random Forest model and is moving to transformers soon in feature development.
Top Skills:
• 5+ years of exp. in Machine Learning Engineer
• Python exp. is a must.
• Scala exp. is a must.
• ML Frameworks (TensorFlow, PyTorch, Scikit-learn & Keras) experience is a must.
• AWS exp. is a must.
• Kubernetes exp. is a must.
• Experience with CI/CD




