Dice is the leading career destination for tech experts at every stage of their careers. Our client, Tekfortune Inc., is seeking the following. Apply via Dice today! 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.).