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Principal AI Engineer

Apolis

Principal AI Engineer

Charlotte, NC / Addison, TX / Atlanta, GA /or Jersey City, NJ - Hybrid 6-12 months Contract W2 We are seeking an AI engineer with experience in banking and finance to join our team. The ideal candidate will have a strong background in statistical analysis, machine learning, and large language models (LLMs), with a strong ability to translate business problems into actionable data-driven solutions.

Position Summary

  • Analyze large financial datasets to extract insights and support business decisions.
  • Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation).
  • Apply and fine-tune large language models (LLMs) for tasks such as document analysis, customer communication, and regulatory compliance.
  • Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
  • Communicate findings and recommendations through reports, dashboards, and presentations.
  • Work with data engineers to ensure data quality and pipeline reliability.
  • Work with AI/ML engineers to build AI solutions.

Required Qualifications

  • Proven experience as a Data Scientist in Banking or a similar domain
  • Proficiency in Python or R, and experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
  • Hands-on experience with large language models (e.g., OpenAI GPT, Llama, or similar), including fine-tuning and prompt engineering.
  • Strong knowledge of statistics, machine learning, and data mining techniques.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Experience with Big Data Platforms (Hadoop), Relational Databases (Oracle) and NoSQL Databases (MongoDB).
  • Experience with Agentic AI and Agent Development.
  • Familiarity with SQL and working with relational databases.
  • Excellent problem-solving, communication, and collaboration skills.
  • Experience with cloud platforms (AWS, Azure, or GCP) is a plus.

Desired Qualifications

  • Experience with NLP, deep learning, or time series analysis.
  • Experience deploying models to production environments.
  • Knowledge of regulatory requirements and compliance in banking and finance.
  • Familiarity with MLOps practices and tools.
  • Experience with Agile methodology and tools (JIRA or Rally)
Vacancy posted 2 hours ago
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