Ai/ml Gen Ai

Overview

Join our AI/ML Generative AI team to turn data and emerging technologies into practical, reliable solutions. You’ll build and evaluate machine learning and artificial intelligence (AI) models, including generative AI and natural language processing applications, and help move them from experimentation into production. Your impact: Thoughtful model development helps teams make better-informed decisions and gives users more useful, dependable tools.

Duties

• Prepare data through extraction, transformation, and loading (ETL); data mining; and analytics across SQL databases and big data systems.
• Develop, train, and evaluate machine learning models using statistical modeling, predictive modeling, unsupervised learning, and statistical analysis for research.
• Implement and deploy AI models, including generative AI solutions, with attention to scalability, quality, and responsible use.
• Build and maintain data workflows and linked data solutions; support Spark implementation and machine learning cloud services on Amazon Web Services (AWS).
• Communicate findings through data analytics and reporting, using statistical analysis tools and platforms such as Looker.

Requirements

• Experience with machine learning, AI implementation, model training, model evaluation, and machine learning/AI-based analysis.
• Programming experience with Python; familiarity with Java, C, R, Structured Query Language (SQL), Visual Basic for Applications (VBA), or Bash (Unix shell) is useful.
• Knowledge of machine learning frameworks such as TensorFlow and experience with big data, Hadoop, Spark, database design, and data pipelines.
• Familiarity with statistical analysis, statistical modeling, analytics, and tools such as SAS and Talend; experience with quantum engineering is a plus.
• Ability to explain technical results clearly and collaborate on practical, scalable solutions.

Pay: $18.00 - $135.00 per hour

Expected hours: 40.0 per week

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Employee discount
• Flexible schedule
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Parental leave
• Professional development assistance
• Referral program
• Retirement plan
• Tuition reimbursement
• Vision insurance

Work Location: Remote