Artificial Intelligence Engineer

• Design, develop, and implement machine learning models
• Lead model training and evaluation processes, ensuring accuracy and robustness through techniques like unsupervised learning and data mining.
• Build scalable data pipelines using ETL tools like Talend and Hadoop to facilitate efficient data ingestion from diverse sources including linked data and big data environments.
• Collaborate with cross-functional teams to integrate AI models into production systems via model deployment strategies on cloud platforms like AWS.
• Conduct research on emerging AI trends such as quantum engineering and natural language processing to enhance existing solutions or develop new capabilities.
• Design and optimize database schemas for efficient storage and retrieval of large datasets, leveraging SQL, NoSQL, and database design best practices.
• Develop analytical dashboards using tools like Looker to visualize insights derived from complex datasets for stakeholders.
• Maintain comprehensive documentation of algorithms, codebases, and model performance metrics to ensure transparency and reproducibility.

• Proficiency in programming languages including Python, Java, C, VBA, Bash (Unix shell), with experience in machine learning frameworks such as TensorFlow and Spark.
• Strong understanding of AI concepts including natural language processing, model training, model deployment, and machine learning techniques like unsupervised learning.
• Hands-on experience with big data tools such as Hadoop, Spark, and ETL platforms like Talend for data integration and processing.
• Knowledge of cloud computing services especially AWS for deploying scalable AI solutions.
• Expertise in database design principles along with SQL proficiency for managing structured data.
• Familiarity with analytics tools such as Looker for creating insightful visualizations; experience with SAS is a plus.
• Background in data mining, linked data integration, and working with large datasets in distributed environments.
• Understanding of quantum engineering principles as they relate to emerging AI research areas is an advantage.
• Ability to communicate complex technical concepts clearly to both technical teams and non-expert stakeholders. Embark on a journey where your skills in AI can shape the future! We’re eager to welcome passionate professionals ready to innovate at the intersection of technology and intelligence-helping us unlock new possibilities through advanced analytics and machine learning excellence!

Pulled from the full job description

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