AI Engineer
Role summary
We are seeking an AI Engineer to develop, deploy, and optimize AI solutions. This role involves designing and implementing AI models using frameworks like TensorFlow, leading training and validation, and collaborating on ETL pipelines with big data technologies such as Hadoop and Spark. You will apply unsupervised learning, deploy models in cloud environments (AWS), and develop NLP solutions. The position also requires database design, data mining using SAS/R, and familiarity with ETL tools like Talend. Experience with data visualization tools like Looker and strong programming skills in Python and Java are essential. This is an onsite, full-time role focused on innovation and leveraging data-driven insights.
Job Overview
We are seeking a dynamic and innovative AI Engineer to join our forward-thinking technology team. In this role, you will drive the development, deployment, and optimization of cutting-edge artificial intelligence solutions that power our products and services. Your expertise will enable us to harness the full potential of data-driven insights, machine learning models, and natural language processing to deliver exceptional value to our users. This position offers an exciting opportunity to work with a diverse set of technologies, including cloud platforms, big data frameworks, and advanced machine learning frameworks, in a fast-paced environment committed to innovation and excellence.
Duties
- Design, develop, and implement AI models using frameworks such as TensorFlow and other machine learning tools to solve complex business problems.
- Lead model training and validation processes, ensuring high accuracy and robustness for deployment in production environments.
- Collaborate with data engineers to build scalable ETL pipelines for large datasets utilizing Hadoop, Spark, Talend, and SQL databases.
- Apply unsupervised learning techniques for data mining and pattern recognition to uncover hidden insights within big data sets.
- Deploy AI models into cloud environments like AWS, ensuring seamless integration with existing systems and applications.
- Develop natural language processing solutions to enhance user interactions and automate content analysis.
- Design and optimize database schemas for efficient data storage, retrieval, and management in support of AI initiatives.
- Conduct research on emerging AI trends such as quantum engineering applications in machine learning to keep our solutions at the forefront of innovation.
- Use analytics tools like Looker and SAS for data visualization and performance monitoring of AI systems.
- Write clean, efficient code in Python, Java, C, Bash (Unix shell), VBA, or R to support various project components.
Requirements
- Proven experience with cloud platforms such as AWS for deploying scalable AI solutions.
- Strong proficiency in Python and Java programming languages; familiarity with C is a plus.
- Hands-on expertise with machine learning frameworks including TensorFlow, Spark MLlib, or similar tools.
- Deep understanding of machine learning concepts like supervised and unsupervised learning methods.
- Experience with natural language processing (NLP) techniques for text analysis and chatbot development.
- Knowledge of big data technologies such as Hadoop, Spark, and Hadoop ecosystem components like HDFS or Hive.
- Skilled in database design principles using SQL and NoSQL databases for efficient data management.
- Ability to perform data mining tasks using SAS or R to extract actionable insights from complex datasets.
- Familiarity with ETL processes using Talend or similar tools for data integration workflows.
- Experience with model deployment strategies in cloud environments ensuring scalability and reliability.
- Strong analytical skills coupled with experience in data visualization tools like Looker or similar platforms.
- Excellent problem-solving abilities combined with a passion for innovation in AI technology applications. Join us if you're eager to shape the future of intelligent systems by leveraging your technical expertise in a collaborative environment that values creativity, continuous learning, and impactful solutions!
Pay: $49,582.37 - $59,712.10 per year
Benefits:
- Flexible schedule
- Health insurance
Work Location: In person
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