AI Engineer

• Design, develop, and implement AI models utilizing frameworks such as TensorFlow, Spark MLlib, and other machine learning tools to solve real-world problems.
• Conduct statistical analysis and research to inform model development, including predictive modeling analysis and statistical modeling techniques.
• Manage data pipelines using ETL tools like Talend and Hadoop for efficient data extraction, transformation, and loading into SQL databases or big data systems.
• Collaborate with cross-functional teams to integrate AI solutions into existing applications using languages such as Python, Java, C, and Bash (Unix shell).
• Evaluate model performance through rigorous testing and validation processes; optimize models for accuracy, scalability, and deployment readiness.
• Deploy AI models in cloud environments leveraging machine learning cloud services on platforms like AWS to ensure high availability and scalability.
• Develop comprehensive documentation of algorithms, processes, and system architecture; support ongoing maintenance and updates of deployed models.
• Engage in continuous learning of emerging AI technologies such as quantum engineering applications or advanced natural language processing techniques to enhance solution capabilities.

• Extensive experience with machine learning frameworks including TensorFlow, Spark implementation, and other relevant tools.
• Strong proficiency in programming languages such as Python, Java, C, VBA, and Bash scripting for automation and development tasks.
• In-depth knowledge of big data systems like Hadoop and Spark for large-scale data processing.
• Expertise in statistical analysis tools such as SAS or R for research-driven model development.
• Proven ability to work with SQL databases and perform complex data mining tasks for analytics purposes.
• Familiarity with cloud-based AI implementation services on AWS or similar platforms to ensure scalable deployment of models.
• Experience with natural language processing (NLP), generative AI techniques, and predictive modeling analysis to create intelligent applications.
• Knowledge of database design principles and experience with SQL for effective data management.
• Understanding of data analytics workflows including model training, evaluation, deployment, and ongoing monitoring for performance improvements.
• Ability to work on scalable AI solutions that incorporate looker dashboards or other visualization tools for insights presentation.

Join us in shaping the future of artificial intelligence by developing innovative solutions that transform data into actionable intelligence!