Senior/Mid Level AI Engineer

Job Title: Senior/Mid-Level AI Engineer

Location: Charlotte, NC and Washington, DC (onsite)

Contract Role

Need Financial/Banking industry Experience.

AI Engineer (Junior Level)

Required Qualifications:

• Bachelor s or Master s degree in Computer Science, Data Science, AI, Engineering, or a related discipline.
• 3 6 years of experience in machine learning or data science roles.
• Proficiency in Python, with experience using ML libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Familiarity with SQL and data wrangling using Pandas or similar tools.
• Experience working with large datasets and building models that scale in real-world environments.
• Understanding of key ML concepts: classification, regression, clustering, evaluation metrics, and model tuning.

Preferred Qualifications:

• Exposure to cloud platforms (AWS, Azure, Google Cloud Platform) and tools like SageMaker, Databricks, or Vertex AI.
• Experience in financial services or developing models for financial products.
• Knowledge of MLOps tools and practices.
• Understanding of regulatory requirements and model governance in finance.

Sr. AI Engineer (Senior Level)

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.

Principal AI Engineer (Lead or Architect Level)

Required Qualifications:

• Master s or PhD in Computer Science, Data Science, AI, Mathematics, or a related field.
• 10+ years of experience in software development and/or data science, with at least 5 years in AI/ML engineering roles.
• Proven experience building and deploying ML models in production environments (e.g., using TensorFlow, PyTorch, Scikit-learn).
• Strong programming skills in Python and proficiency in SQL.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Deep knowledge of supervised and unsupervised learning techniques, NLP, and model interpretability.
• Excellent communication and leadership skills, with the ability to work effectively in a global, matrixed organization.

Preferred Qualifications:

• Experience in the financial services sector or with financial products (e.g., lending, investments, banking platforms).
• Familiarity with MLOps practices and tools like MLflow, Kubeflow, or SageMaker.
• Exposure to regulatory environments (e.g., OCC, FRB, GDPR, etc.).