Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer with a 12+ month contract, located in VA, TX, or PA. Requires a degree in Computer Science or related field, 3–6 years in Machine Learning, and proficiency in Python, SQL, and cloud services.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
September 26, 2025
🕒 - Project duration
More than 6 months
-
🏝️ - Location type
Unknown
-
📄 - Contract type
W2 Contractor
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#AWS SageMaker #GCP (Google Cloud Platform) #NLP (Natural Language Processing) #Deep Learning #SageMaker #Spark (Apache Spark) #Libraries #Transformers #TensorFlow #Hadoop #PyTorch #AWS (Amazon Web Services) #Big Data #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Kubernetes #GIT #MLflow #Databases #Cloud #SQL (Structured Query Language) #Azure #Version Control #Python #Docker #NoSQL #Keras #Airflow #Computer Science #AI (Artificial Intelligence) #Data Science #Statistics
Role description
Title: Machine Learning Engineer
Type: W2
Location: VA,TX,PA
Duration:12+ Months
Required Skills & Experience:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• 3–6 years of experience in Machine Learning / Data Science.
• Strong proficiency in Python and ML libraries/frameworks (scikit-learn, TensorFlow, PyTorch, Keras).
• Experience with SQL and NoSQL databases.
• Hands-on experience with cloud services (AWS Sagemaker, Azure ML, GCP AI/ML).
• Strong understanding of algorithms, statistics, and linear algebra.
• Experience with version control (Git), CI/CD, and containerization (Docker, Kubernetes).
Nice to Have:
• Exposure to NLP, computer vision, or deep learning architectures (CNNs, RNNs, Transformers).
• Experience with big data tools (Spark, Hadoop).
• Familiarity with MLOps frameworks (MLflow, Kubeflow, Airflow).
Title: Machine Learning Engineer
Type: W2
Location: VA,TX,PA
Duration:12+ Months
Required Skills & Experience:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• 3–6 years of experience in Machine Learning / Data Science.
• Strong proficiency in Python and ML libraries/frameworks (scikit-learn, TensorFlow, PyTorch, Keras).
• Experience with SQL and NoSQL databases.
• Hands-on experience with cloud services (AWS Sagemaker, Azure ML, GCP AI/ML).
• Strong understanding of algorithms, statistics, and linear algebra.
• Experience with version control (Git), CI/CD, and containerization (Docker, Kubernetes).
Nice to Have:
• Exposure to NLP, computer vision, or deep learning architectures (CNNs, RNNs, Transformers).
• Experience with big data tools (Spark, Hadoop).
• Familiarity with MLOps frameworks (MLflow, Kubeflow, Airflow).
