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)
Since 1996, RJT has provided successful SAP, Oracle, and IT consulting solutions and staffing services to clients around the world. The new Apolis brings you the same personalized service fortified with a greater array of IT solutions, global expertise, and cost-management strategies.
We are a global IT consultancy that seamlessly integrates experts and leading-edge solutions into your organization so you can focus on what really matters.
Skills
Agile Programming Methodologiesunmatched
Algorithmsunmatched
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Apache Hadoopunmatched
Artificial Intelligence (AI)unmatched
Atlassian JIRAunmatched
Banking Servicesunmatched
Big Dataunmatched
Business Skillsunmatched
Business Supportunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Cross-Functionalunmatched
Data Managementunmatched
Data Miningunmatched
Data Qualityunmatched
Data Scienceunmatched
Data Setsunmatched
Data Visualization Toolsunmatched
Deep Learningunmatched
Financeunmatched
Financial Analysisunmatched
GCP (Good Clinical Practices)unmatched
Machine Learningunmatched
Market Segmentationunmatched
Microsoft Windows Azureunmatched
Modeling Languagesunmatched
MongoDBunmatched
Natural Language Processing (NLP)unmatched
NoSQLunmatched
Oracleunmatched
Power BIunmatched
Problem Solving Skillsunmatched
Production Systemsunmatched
Python Programming/Scripting Languageunmatched
R Programming Languageunmatched
Regulatory Complianceunmatched
Regulatory Requirementsunmatched
Relational Databases (RDBMS)unmatched
Reporting Dashboardsunmatched
Risk Modelingunmatched
SQL (Structured Query Language)unmatched
Science Libraryunmatched
Statisticsunmatched
Tableauunmatched
Team Playerunmatched
Time Series Analysisunmatched
Use Casesunmatched
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