Artificial Intelligence Engineer

Overview
Join our innovative team as an Artificial Intelligence (AI) Engineer, where you will drive the development and deployment of cutting-edge AI solutions that transform data into actionable insights. In this role, you will harness advanced machine learning frameworks, natural language processing, and big data technologies to solve complex problems across diverse industries. Your expertise will enable us to build scalable models, optimize data pipelines, and deliver intelligent applications that elevate user experiences and operational efficiency. We are committed to fostering a dynamic environment where your creativity and technical prowess can thrive, making a tangible impact on the future of AI-driven solutions.

Duties

• 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.

Skills

• 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!

Pay: $70,000.00 - $80,000.00 per year

Benefits:

• Dental insurance
• Health insurance

Work Location: In person