Artificial Intelligence Engineer

Overview

As an Artificial Intelligence Engineer, you’ll turn data into practical AI solutions. You’ll build, test, and deploy machine learning models, partnering with research and analytics teams to address real-world needs. Your work will support reliable, scalable applications, from predictive modeling to natural language processing and generative AI.

Your impact: By developing and evaluating useful AI models, you’ll help teams make better-informed decisions and deliver more relevant data-driven services.

Duties

• Prepare data pipelines, including extract, transform, and load (ETL) processes, data mining, and linked data integration.
• Train, evaluate, and deploy machine learning models using Python, TensorFlow, and other machine learning frameworks.
• Apply statistical modeling, statistical analysis, unsupervised learning, and predictive modeling to research and product questions.
• Build scalable solutions with cloud machine learning services, big data systems, Hadoop, and Spark; support Spark implementation and AI implementation.
• Collaborate on database design, SQL databases, analytics, and data analytics; document model performance and deployment decisions.

Requirements

• Experience with machine learning, AI, model training, model evaluation, and machine learning/AI-based analysis.
• Working knowledge of Python and SQL; experience with AWS and TensorFlow is useful.
• Familiarity with statistical analysis tools and research methods; SAS, R, Looker, and VBA are relevant tools.
• Exposure to Java, C, Bash (Unix shell), Talend, big data, and scalability is helpful.
• Interest or experience in generative AI, natural language processing, and quantum engineering is welcome; related skills are preferred, not all required.

Pay: $120,000.00 - $150,000.00 per year

Work Location: Remote