Collaborate with data engineering, cloud infrastructure, and software teams to ensure robust model deployment and monitoring. Demonstrated expertise in Docker, CI/CD pipelines, MLflow, model registry, monitoring, and automated retraining workflows.
Numbers & Facts
Location
Oshkosh, WI
Salary
$190–$200 Per Year
Description
Pay Rate: $190K - $200K /10% bonus
Location: Oshkosh, WI or New Hudson, MI
Work Mode: Hybrid
Summary:
Shift: 3 days in office and 2 days remote
Relocation: Yes, willing to relocate for the right person
Travel: less than 10%
US Citizen
Responsibilities:
Define the technical roadmap and architecture for enterprise AI/ML initiatives aligned with business objectives.
Partner with executive leaders across various segments to identify high-value analytics opportunities.
Champion best practices for MLOps, model governance, ethical AI, and scalable data products.
Lead the end-to-end design, development, and deployment of complex predictive, prescriptive, and generative AI models.
Translate complex business challenges into production-ready data science frameworks.
Provide technical mentorship and guidance to data scientists and machine learning engineers.
Collaborate with data engineering, cloud infrastructure, and software teams to ensure robust model deployment and monitoring.
Communicate complex analytical concepts and ROI metrics clearly to stakeholders.
Requirements:
Minimum 8 years of experience in analytics and AI.
Proven experience delivering analytics or AI projects tied to business outcomes.
Strong business or domain expertise in manufacturing, supply chain, operations, sales, or lifecycle services.
Experience working between business teams and IT/analytics.
Strong communication, business acumen, and ability to influence senior leaders.
Demonstrated experience mentoring junior team members.
Experience with industrial IoT, telematics, edge AI, or time-series sensor data.
Advanced proficiency in Python and SQL; experience with R, Scala, or C is a plus.
Deep experience with ML/AI frameworks such as Scikit-learn, PyTorch, TensorFlow, XGBoost, and Hugging Face.
Strong hands-on experience with cloud ecosystems (Azure or AWS), Databricks, Snowflake, and Apache Spark.
Demonstrated expertise in Docker, CI/CD pipelines, MLflow, model registry, monitoring, and automated retraining workflows.
Familiarity with Agile/Scrum delivery frameworks within large enterprise environments.
Preferred Skills:
Awareness of and openness to market-based or vendor-led AI solutions.
A consultative, outcome-focused approach to delivering solutions.
Background in computer vision (CV), autonomous vehicle tech, or robotics.
Experience working in a portfolio company with multi-business units; preferably a manufacturing company.
Domain expertise in supply chain, manufacturing, or lifecycle services.
Consulting experience (nice to have).
Bachelor’s degree in data science, mathematics, economics, statistics, engineering, or information management.
Advanced Degree (MBA and/or PhD).
Benefits:
Competitive salary with performance-based bonus.
Opportunity for relocation for the right candidate.