This position is no longer accepting applications
Closed on September 23, 2026.
This role is filled — get an email when new Data Analytics roles open on DataJobs.io:
M
Senior AI Engineer
Ai Engineer
Artificial Intelligence
Big Data
Bigdata
Data Analytics
Data Architecture
Data Pipeline
Data Processing
Database
Databases
Engineer
ETL
Genai
Hadoop
Machine Learning
Machine Learning Engineer
NLP
Programming
SQL
TensorFlow
View similar jobs
Get alerted when similar jobs are posted — set up a New Data Analytics jobs on DataJobs.io alert.
See other roles at Mapgenesys.
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)