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Senior AI Engineer
Job Description
Mapgenesys is hiring a Senior AI Engineer to design, train, and deploy AI solutions across large-scale data environments.
Responsibilities
- Design, develop, and optimize scalable AI models using TensorFlow and machine learning cloud services to address complex business needs
- Own model training, evaluation, and deployment to support robustness, accuracy, and efficiency across diverse platforms
- Implement natural language processing methods and generative AI solutions to improve data-driven applications
- Manage large-scale big data systems using Hadoop, Spark, and SQL for data mining, ETL, and analytics workflows
- Collaborate with cross-functional teams to architect database designs and data pipelines for scalable AI initiatives
- Perform statistical analysis for research using tools such as R and SAS to guide model development and validation
- Build automation scripts in Bash (Unix shell) or VBA to streamline data processing and improve operational workflows
- Evaluate AI models using rigorous statistical analysis and model evaluation metrics to ensure strong performance
- Integrate machine learning and AI-based analysis into existing enterprise systems while maintaining scalability and reliability
- Track emerging trends in quantum engineering, big data analytics, and machine learning frameworks to strengthen technical capabilities
Requirements
- Proven experience building AI models with a strong background in machine learning frameworks such as TensorFlow or similar platforms
- Extensive hands-on experience with Hadoop, Spark implementations, and SQL databases for large-scale data analytics
- Demonstrated expertise in statistical modeling, statistical analysis tools (R/SAS), and predictive modeling for research or business use cases
- Strong programming skills in Python, Java, C, or Bash (Unix shell), focused on model training, deployment, and automation
- Familiarity with cloud-based AI services on AWS or other cloud platforms for scalable model implementation
- Experience applying natural language processing techniques and generative AI models
- Knowledge of database design principles and ETL workflows using Talend or similar tools to support robust data pipelines
- Ability to communicate complex technical concepts clearly across teams while leading multiple projects simultaneously
Technologies
- TensorFlow, Hadoop, Spark, SQL
- R, SAS
- Bash (Unix shell), VBA
- Python, Java, C
- AWS
- Talend
Benefits
- Flexible schedule
- Referral program
- Retirement plan
Pay
- USD 31,347 - 47,021 per year
- Detailed: $31,347.96 - $47,021.94 per year
Work Location
- South Barrington, IL (Remote)