Overview
Remote
On Site
Depends on Experience
Contract - W2
Skills
Amazon SageMaker
Machine Learning (ML)
Vertex
TensorFlow
Machine Learning Operations (ML Ops)
Artificial Intelligence
Amazon Web Services
PyTorch
Python
Google Cloud Platform
Job Details
Position: AI/ML Engineer
Type: W2 Contract (No C2C)
We re looking for an experienced AI/ML Engineer to design, build, and deploy machine learning models and AI solutions that power intelligent decision-making across our digital platforms. This role is ideal for someone passionate about data science, applied machine learning, and production-ready AI systems.
Responsibilities:
- Design and develop ML models for classification, prediction, NLP, or recommendation systems
- Implement and optimize data pipelines to support training and inference workflows
- Deploy models to production using MLOps practices and tools
- Collaborate with data scientists, engineers, and product teams to solve business challenges
- Monitor model performance, retraining, and versioning
- Conduct experiments, model tuning, and feature engineering
Required Skills:
- 4 6+ years of experience in AI/ML engineering or data science roles
- Proficiency in Python, with libraries like TensorFlow, PyTorch, Scikit-learn, or Transformers
- Strong experience with NLP, computer vision, or time-series forecasting
- Familiarity with MLOps tools (e.g., MLflow, SageMaker, Vertex AI, Kubeflow)
- Experience working with cloud platforms like AWS, Google Cloud Platform, or Azure
- Understanding of data pipelines, APIs, and CI/CD for model deployment
- Bachelor s or Master s in Computer Science, Data Science, or related field
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.