Overview
Remote
Depends on Experience
Contract - W2
Contract - 6 Month(s)
Skills
scikit-learn
TensorFlow
Python
Apache Kafka
Amazon Web Services
Generative Artificial Intelligence (AI)
Job Details
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, Google Cloud Platform, 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.