AI Engineer with Banking Experience

Title : AI Engineer with Banking Experience
Location: East Lansing, MI or Detroit, MI (Relocation Considered) 5 Days a Week
Type of Interview Required: Video
Candidate Visa's Accepted : No OPT, CPT and H1B
End Client : Peoples Bank

Requirement : We need three AI Engineers (10+ Years) to design, build, and deploy machine learning and AI-driven solutions supporting the bank's technology and business initiatives. Candidates must be senior AI engineers with recent banking or financial services experience as well as strong python and great comms skills. CANDIDATES NEED TO HAVE GOOD TENURE/LONG PROJECTS. The client will consider only local consultants for this project. No Relocation

Job Description:
Seeking an AI Engineer to design, build, and deploy machine learning and AI-driven solutions supporting the bank's technology and business initiatives. This role requires strong hands-on Python development skills combined with a solid understanding of banking/financial services environments — including data sensitivity, regulatory considerations, and enterprise system constraints. The position is on-site 5 days per week across East Lansing and Detroit offices.
This role is being engaged as a contract-to-hire, though the client is open to bringing on the right candidate as a full-time employee from day one.

Key Responsibilities

• Design, develop, and deploy AI/ML models and pipelines to support banking operations, risk, fraud detection, underwriting, customer experience, or process automation use cases
• Write clean, production-grade Python code for data processing, model development, and integration with existing systems
• Collaborate with data engineering, IT, and business stakeholders to identify opportunities for AI/ML applications within a regulated banking environment
• Build and maintain data pipelines (ETL/ELT) to support model training and inference
• Evaluate, fine-tune, and deploy both traditional ML models and modern LLM/generative AI solutions where applicable
• Ensure models and AI systems meet banking industry standards for security, data privacy, and regulatory compliance
• Document model methodology, performance, and monitoring processes for internal governance and audit purposes
• Partner with IT infrastructure teams on deployment, scaling, and monitoring of AI solutions in production

Required Qualifications

• Strong, demonstrable Python development skills (production-level code, not just notebooks/scripting)
• Prior experience working within a bank or financial services institution — direct exposure to banking data, systems, and/or regulatory environment is required
• Experience with core ML/AI libraries and frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, or similar)
• Solid understanding of data engineering fundamentals — SQL, data pipelines, cloud or on-prem data platforms
• Experience deploying models to production (MLOps practices, APIs, containerization a plus)
• Strong communication skills, with the ability to work cross-functionally with both technical and business teams
• Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience)

Preferred Qualifications

• Experience with generative AI/LLM implementations in a regulated industry
• Familiarity with cloud platforms (Azure, AWS, or GCP)
• Exposure to model risk management or model governance frameworks common in banking
• Experience with core banking or lending platforms