Flexton Inc.
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer (W2, Remote) with a contract length of unspecified duration. Key skills include Python, SQL, Scala/Java, PyTorch, and MLOps experience. Strong communication skills and deep learning knowledge are essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
400
-
🗓️ - Date
December 20, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Docker #Hugging Face #Spark (Apache Spark) #Deep Learning #"ETL (Extract #Transform #Load)" #Hadoop #Transformers #Kubernetes #ML (Machine Learning) #PyTorch #Scala #AWS (Amazon Web Services) #Azure #SQL (Structured Query Language) #Cloud #GCP (Google Cloud Platform) #Python #Monitoring #Deployment #Java #Model Deployment
Role description
Greetings from Flexton!
Hope you are doing great today!
One of my clients is looking for Machine Learning Engineer::W2@ Remote please share me your updated resume and desire rate for this position.
We are looking for a Machine Learning Engineer to build, deploy, and scale production-grade ML and deep learning solutions.
Must Have:
• Languages: Python, SQL, and Scala or Java
• Frameworks: PyTorch, Hugging Face Transformers
• Strong knowledge of Deep Learning
• Experience with Spark/Hadoop
• Hands-on MLOps experience (model deployment, monitoring, CI/CD)
Additional Requirements:
• Strong communication and collaboration skills
• Active participation in team discussions and solution design
• Availability for daily stand-ups, core meetings, and Slack collaboration
Nice to Have:
• Cloud platforms (AWS/GCP/Azure), Docker, Kubernetes
Greetings from Flexton!
Hope you are doing great today!
One of my clients is looking for Machine Learning Engineer::W2@ Remote please share me your updated resume and desire rate for this position.
We are looking for a Machine Learning Engineer to build, deploy, and scale production-grade ML and deep learning solutions.
Must Have:
• Languages: Python, SQL, and Scala or Java
• Frameworks: PyTorch, Hugging Face Transformers
• Strong knowledge of Deep Learning
• Experience with Spark/Hadoop
• Hands-on MLOps experience (model deployment, monitoring, CI/CD)
Additional Requirements:
• Strong communication and collaboration skills
• Active participation in team discussions and solution design
• Availability for daily stand-ups, core meetings, and Slack collaboration
Nice to Have:
• Cloud platforms (AWS/GCP/Azure), Docker, Kubernetes
