AI/ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer on a 12-month contract, requiring strong Python skills, experience with TensorFlow/PyTorch/Keras, and knowledge of ML algorithms. Onsite locations include Dallas, Phoenix, or San Antonio. Proficiency in cloud-based AI services is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
August 29, 2025
🕒 - Project duration
More than 6 months
-
🏝️ - Location type
On-site
-
📄 - Contract type
Fixed Term
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Dallas, TX
-
🧠 - Skills detailed
#MLflow #AWS SageMaker #PyTorch #Model Deployment #NLP (Natural Language Processing) #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Deep Learning #Keras #TensorFlow #Deployment #NumPy #Python #GCP (Google Cloud Platform) #ML (Machine Learning) #Cloud #Pandas #Azure #SageMaker
Role description
AI/ML Engineer
12 months contract
Locations: Onsite locations are Dallas / Phoenix / San Antonio.
• Strong skills in Python (NumPy, Pandas, Scikit-learn)
• Experience with TensorFlow / PyTorch / Keras
• Knowledge of ML algorithms, deep learning, NLP, computer vision
• Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker)
• Understanding of data preprocessing, feature engineering, model deployment
• Proficiency with cloud-based AI services (AWS Sagemaker, Azure ML, GCP AI)
AI/ML Engineer
12 months contract
Locations: Onsite locations are Dallas / Phoenix / San Antonio.
• Strong skills in Python (NumPy, Pandas, Scikit-learn)
• Experience with TensorFlow / PyTorch / Keras
• Knowledge of ML algorithms, deep learning, NLP, computer vision
• Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker)
• Understanding of data preprocessing, feature engineering, model deployment
• Proficiency with cloud-based AI services (AWS Sagemaker, Azure ML, GCP AI)
