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À propos
AI / ML Engineer Salary:
$100,000 - 130,000 Benefits:
$0 Premium Healthcare options, Retirement Plan w/ 4.5% match, 3.5 Weeks PTO, etc. Location:
East Lansing, MI area (Onsite role)
Why You Should Apply:
Outstanding culture with a family-oriented feel, where technology is highly valued.
Competitive compensation and benefits package with $0 cost healthcare options.
Work in a modern environment with the latest tools, collaborative team & leaders, and a strong focus on professional growth.
Job Overview: Design, build, and deploy AI and machine learning systems that deliver measurable business value at First National Bank of America. As part of the AI & Automation team, contribute across the full engineering lifecycle—from data analysis and model development through production deployment. Depending on experience, this role may emphasize quantitative modeling alongside a senior data scientist, or production engineering of AI-powered systems. We are building a new team and hiring at multiple levels.
Responsibilities of the AI / ML Engineer:
Design and implement AI solutions including document intelligence, knowledge search (RAG), and process automation
Build and maintain production data pipelines: ingestion, transformation, feature engineering, and monitoring
Develop APIs and services connecting AI capabilities to business applications
Integrate and optimize LLM services: prompt engineering, RAG, evaluation, and cost management
Collaborate on quantitative projects: pricing models, risk analysis, statistical modeling, and simulation
Implement and evaluate ML models; support experimentation, validation, and performance analysis
Build supporting data infrastructure: ETL pipelines, vector databases, data quality frameworks
Contribute to AI platform architecture: cost tracking, usage monitoring, and access control
Evaluate AI/ML tools, frameworks, and cloud services; recommend build-vs-buy decisions
Create technical documentation and architecture diagrams
Support AI governance and compliance in a regulated banking environment
Preferred Experience of the AI / ML Engineer:
BS or MS in Computer Science, Data Science, Mathematics, Statistics, or related quantitative field
Strong
Python
skills; production systems or significant academic projects
Experience or coursework in
machine learning , statistical modeling, or applied mathematics
Familiarity with
ML frameworks (scikit-learn, PyTorch, TensorFlow ) and
data libraries (pandas, NumPy, SciPy)
LLM integration , prompt engineering, and RAG experience valued
Familiarity with cloud AI services (Azure AI, AWS Bedrock) and containerization (Docker)
Understanding of
API design
and system integration patterns
Effective communication skills for technical and non-technical audiences
Personal projects, research, open-source, or Kaggle experience are valued
Bonus Experience of the AI / ML Engineer:
Data pipeline experience (Airflow, dbt, or equivalent) a plus
Working knowledge of
SQL ; vector database experience a plus
Regulated industry background (banking, healthcare, finance) is a significant plus
#LI-NB1 #INMAR2026
Compétences linguistiques
- English
Avis aux utilisateurs
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