Overview
On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Skills
Artificial Intelligence
Deep Learning
Docker
Flask
Google Cloud Platform
Machine Learning (ML)
Microsoft Azure
Python
TensorFlow
Terraform
Natural Language Processing
Pandas
NumPy
PyTorch
Microservices
Job Details
Applied AI/ML Engineer
Duration:- 12 months
Locations: New York City, NY or Charlotte, NC (Must be in either New York City, NY or Charlotte, NC and the candidates must be onsite 5 days a week.)
Responsibilities
- Design, develop, and deploy AI/ML solutions (e.g., image/NLP models, LLMs) to support business use cases in areas like payments, trading, or cybersecurity
- Build data pipelines and production-grade model architectures using Python, cloud infra (AWS/Google Cloud Platform/Azure), containerization (Docker/Kubernetes), and microservices frameworks (Flask/FastAPI)
- Monitor model accuracy, performance, and deploy improvements over time
Required Skills
- Strong Python coding with ML libraries (NumPy, pandas, scikit-learn).
- Practical ML experience, including deep learning frameworks (TensorFlow/PyTorch), NLP/LLM techniques, and prompt engineering
- Cloud infrastructure experience (AWS, Kubernetes) and modern engineering tools (Terraform, Airflow)
Qualifications
- Master s/PhD in related field is required
- 5+ years actual ML engineering experience for mid-level roles
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.