Overview
On Site
$60 - $70
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
AI/ML
Python
TensorFlow
PyTorch
Cloud
MLOps
Job Details
Required Qualifications:
- Bachelor s or Master s degree in Computer Science, Machine Learning, Data Science, or a related technical field.
- 6 9 years of experience in AI/ML engineering or data science roles, with a strong focus on production-level model development.
- Proficiency in Python, with hands-on experience using frameworks such as TensorFlow, PyTorch, Scikit-learn, or XGBoost.
- Strong skills in SQL and data manipulation using tools like Pandas or Spark.
- Experience deploying models in cloud environments (AWS, Google Cloud Platform, or Azure) and using MLOps tools (e.g., MLflow, Kubeflow, SageMaker).
- Solid understanding of model interpretability, validation, and monitoring.
Preferred Qualifications:
- Prior experience in financial services or banking, particularly in areas like credit modeling, risk scoring, or financial forecasting.
- Familiarity with big data tools (e.g., Hadoop, Spark), containerization (Docker, Kubernetes), and CI/CD pipelines.
- Exposure to responsible AI practices, including fairness, explainability, and bias detection.
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.