AI (ML) Engineer - Colorado Springs, Colorado
USD 114K-128K Mid-level Full Time
Tasks
- Collaborate with data and software teams
- Communicate AI ML results
- Define problem statements and success metrics
- Deploy AI/ML models to production
- Develop AI/ML models and algorithms
- Implement testing and validation
- Monitor model performance
- Optimize model performance
- Support AI ML project lifecycle
- Train models and algorithms
- Validate model accuracy
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Azure | Bayesian optimization | Bias Fairness Testing | Bias/fairness | C plus plus | C# | Cloud platform | Computer Vision | Convolutional Neural Network | Cross-validation | DVC | Decision Tree | Deep learning | Docker | Drift monitoring | Fairness testing | Genetic Algorithms | Git | GitLab | Google Cloud | Google Cloud Platform | Gradient descent | Kubeflow | Kubernetes | Language Models | Language Processing | Large Language Models | Linear Programming | Linux | Long Short | Long Short-Term Memory | MLflow | Machine Learning | Model Cards | Model Drift | Model drift monitoring | Natural Language | Natural Language Processing | Neural Network | NumPy | Pandas | Particle swarm | Particle swarm optimization | Prompt engineering | PyTorch | Python | Random Forest | Reinforcement Learning | SciPy | Scikit-learn | Short Term Memory | Simulated annealing | Support Vector Machine | Swarm optimization | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
Regions
Countries
States
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