Machine Learning Engineer

Genius Business Solutions Inc. (GBSI) is a globally recognized IT services leader with 20+ years serving Fortune 500 organizations across automotive, manufacturing, retail, and pharmaceutical industries. Headquartered in Moline, IL, GBSI supports clients and consultants throughout the US, Canada, Europe, and India.

About the role

Design, build, and deploy enterprise-scale ML models and pipelines using Python, TensorFlow/PyTorch, and cloud platforms (AWS/Azure/GCP). This role involves end-to-end ML system development, including data preparation, model training, optimization, and production deployment with MLOps practices.

Responsibilities

• Design, build, deploy, and maintain ML models and end-to-end ML pipelines.
• Perform data preparation, feature engineering, model training, evaluation, and optimization.
• Deploy and monitor models in production, including model drift detection and retraining.
• Collaborate with data engineering, DevOps, and business teams to deliver scalable ML solutions.
• Architect enterprise-scale ML systems and drive MLOps, automation, governance, and reliability initiatives.
• Mentor engineers, provide technical leadership, and evaluate emerging AI/ML technologies.

Requirements

• Strong Python expertise with NumPy, Pandas, Scikit-learn.
• Hands-on experience with TensorFlow and/or PyTorch.
• Experience building and deploying ML solutions on AWS, Azure, or GCP.
• Knowledge of ML pipelines, model evaluation, CI/CD, version control, and MLOps practices.
• Strong understanding of ML system design, performance optimization, and monitoring.

Preferred Skills

• Experience with MLflow, SageMaker, Azure ML or similar MLOps platforms.
• Knowledge of Docker, Kubernetes, Spark, or Ray.
• Experience with LLMs, Deep Learning, Transformers, Vector Databases, and ML Governance.
• Prior experience leading ML projects or mentoring teams.