AI Engineer

required

candidate location: east lansing, mi or detroit, mi (relocation considered) 5 days a week -

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. 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.

Candidate must have strong, demonstrable python development skills (production-level code, not just notebooks/scripting) as well as prior experience working within a bank or financial services institution - direct exposure to banking data, systems, and/or regulatory environment is required.

candidates must be senior ai engineers with recent banking or financial services experience as well as strong python and great communication skills. Candidates need to have good tenure/long projects. The client will consider relocation for this position but local candidates are preferred

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.

• 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

• 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, tensor flow, 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)

• 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

• location: east lansing, mi and detroit, mi (candidate should be prepared to work from either/both locations as needed)
• work arrangement: fully on-site, 5 days per week - no remote/hybrid flexibility
• engagement type: contract-to-hire preferred; client open to direct fte placement for the right candidate