Machine Learning Engineer
Kforce has a client in Atlanta, GA that is seeking a Machine Learning Engineer responsible for developing, implementing and maintaining knowledge-based or artificial intelligence application systems. The Machine Learning Engineer should ensure that information is converted into a format that is digestible and easy for end users to access the information and utilize it optimally.
- 3+ years (Mid) or 5+ years (Senior) experience with shipping ML systems into production (not just notebooks)
- Strong programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost)
- Experience with data processing and analytics using tools such as Pandas, NumPy, SQL, Spark (as applicable)
- Solid understanding of ML fundamentals: bias/variance, evaluation metrics, cross-validation, feature engineering, and error analysis
- Experience building and deploying ML services (e.g., FastAPI/Flask), containerization (Docker), and CI/CD
- Ability to communicate tradeoffs and results clearly to both technical and non-technical stakeholders
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