Principal AI Engineer
Job in
Atlanta, Fulton County, Georgia, 30301, USA
Listed on 2026-09-01
Listing for:
Apolis
Full Time
position Listed on 2026-09-01
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Analyst
Job Description & How to Apply Below
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, Tensor Flow, 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 No
SQL 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)
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