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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)

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