AI/ML Engineer
Harvey Nash
Raleigh, United States of America
7 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Raleigh, United States of America
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Continuous Integration
Python
Machine Learning
TensorFlow
DataOps
PyTorch
Large Language Models
Generative AI
Scikit Learn
Kubernetes
Information Technology
Machine Learning Operations
Data Pipelines
Docker
Job description
- Design, develop, and deploy machine learning and AI solutions.
- Build and optimize predictive models, NLP applications, and data pipelines.
- Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
- Monitor, maintain, and improve production ML systems.
- Stay current with advancements in AI, machine learning, and generative AI technologies.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field.
- 3+ years of experience developing and deploying machine learning models.
- Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Knowledge of MLOps, model deployment, and data engineering best practices.
- Strong problem-solving and communication skills.
Preferred Qualifications:
- Experience with Generative AI, LLMs, RAG systems, or AI agents.
- Experience with Docker, Kubernetes, and CI/CD pipelines.
- Familiarity with vector databases and modern AI application architectures.