Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer with a 12-15 year experience in ML/AI model deployment, proficient in Python and ML frameworks, cloud platforms, and data engineering tools. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
September 5, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Unknown
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Louisville, KY
-
🧠 - Skills detailed
#Computer Science #Python #Data Science #Data Architecture #Azure #Kafka (Apache Kafka) #GCP (Google Cloud Platform) #Spark (Apache Spark) #Apache Spark #Airflow #Data Engineering #Programming #Cloud #PyTorch #Reinforcement Learning #TensorFlow #AWS (Amazon Web Services) #SageMaker #Deployment #ML (Machine Learning) #Deep Learning #AI (Artificial Intelligence)
Role description
We are looking for a highly skilled Machine Learning / AI Engineer to design, develop, and deploy AI-driven solutions that deliver real business value.
Requirements:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 12 - 15 years of experience in developing and deploying ML/AI models in production.
• 5+ years of hands-on programming experience in Python with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• 5+ years of experience in machine learning algorithms, data structures, and statistical modeling.
• 3+ years of experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (e.g., SageMaker, Vertex AI, Azure ML).
• 2+ years of exposure to data engineering tools (e.g., Apache Spark, Airflow, Kafka) – preferred but not mandatory.
• Strong problem-solving, analytical, and communication skills.
Preferred Qualifications:
• PhD in Computer Science, Machine Learning, AI, or a related field.
• Experience with deep learning, reinforcement learning, or generative AI (LLMs, GANs).
• Contributions to open-source AI/ML projects or academic research.
• Experience with real-time inference systems or edge deployment.
• Prior experience in healthcare applications or health plan data architectures is a strong plus.
We are looking for a highly skilled Machine Learning / AI Engineer to design, develop, and deploy AI-driven solutions that deliver real business value.
Requirements:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 12 - 15 years of experience in developing and deploying ML/AI models in production.
• 5+ years of hands-on programming experience in Python with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• 5+ years of experience in machine learning algorithms, data structures, and statistical modeling.
• 3+ years of experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (e.g., SageMaker, Vertex AI, Azure ML).
• 2+ years of exposure to data engineering tools (e.g., Apache Spark, Airflow, Kafka) – preferred but not mandatory.
• Strong problem-solving, analytical, and communication skills.
Preferred Qualifications:
• PhD in Computer Science, Machine Learning, AI, or a related field.
• Experience with deep learning, reinforcement learning, or generative AI (LLMs, GANs).
• Contributions to open-source AI/ML projects or academic research.
• Experience with real-time inference systems or edge deployment.
• Prior experience in healthcare applications or health plan data architectures is a strong plus.
