Full-Stack AI Engineer

We are seeking a dynamic and innovative Full-Stack AI Engineer to join our cutting-edge technology team. In this role, you will drive the development and deployment of advanced artificial intelligence solutions, leveraging your expertise in both front-end and back-end technologies. Your work will empower data-driven decision-making, enhance machine learning models, and facilitate scalable AI applications across diverse platforms. This is an exciting opportunity to shape the future of intelligent systems while working in a fast-paced, collaborative environment that values creativity and technical excellence., * Design, develop, and maintain full-stack applications integrating AI and machine learning models to deliver seamless user experiences.

• Build robust data pipelines using ETL processes to extract, transform, and load large datasets from various sources such as Hadoop, Spark, and SQL databases.
• Implement and optimize machine learning frameworks like TensorFlow for model training, evaluation, and deployment across cloud environments such as AWS.
• Collaborate with data scientists to translate research prototypes into scalable production systems utilizing natural language processing and unsupervised learning techniques.
• Develop APIs and microservices for model deployment, ensuring high availability, security, and performance.
• Design efficient database schemas and manage data mining activities to support analytics initiatives using tools like SAS, Talend, Looker, and VBA.
• Conduct code reviews, troubleshoot issues, and ensure adherence to best practices in software engineering, data security, and compliance.

Do you have experience in SQL?, * Strong proficiency in Python, Java, C, Bash (Unix shell), and VBA for software development and automation tasks.

• Extensive experience with AWS cloud services for deploying scalable AI solutions.
• Deep understanding of machine learning concepts including natural language processing, model training techniques, unsupervised learning, and model deployment strategies.
• Hands-on expertise with big data technologies such as Hadoop, Spark, and Hadoop ecosystem tools for data processing at scale.
• Knowledge of database design principles along with SQL proficiency for managing relational databases.
• Familiarity with machine learning frameworks like TensorFlow along with experience in data mining and analytics tools such as SAS and Looker.
• Ability to work with distributed computing environments using Hadoop or Spark for large-scale data analysis.
• Experience with data integration tools like Talend for building efficient ETL workflows.
• Understanding of quantum engineering principles is a plus for exploring next-generation AI innovations.

Pulled from the full job description

• Professional development assistance
• Tuition reimbursement
• 401(k)
• Health insurance
• Retirement plan
• 401(k) matching
• Paid time off, * 401(k)
• 401(k) matching
• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Professional development assistance
• Retirement plan
• Tuition reimbursement
• Vision insurance

Join us to be at the forefront of AI innovation! Your expertise will help shape intelligent solutions that transform industries while working alongside passionate professionals committed to excellence in technology development.