Location: Billings, MT
Company: Virtualvocations
School Diploma or GED Minimum of 6 months of previous experience in a customer-facing environment Ability to type 35+ WPM Sales-oriented with a focus on customer service satisfaction Ability to thrive in an intensive environment and balance customer support while navigating multiple platforms simultaneously
ML and generative AI models, and identify areas for improvement Required Qualifications: Degree in computer science, statistics, applied mathematics, economics, or other quantitative discipline 3+ years experience in machine learning with multiple models deployed in operational settings Knowledge of machine learning/AI techniques and frameworks such as Scikit-learn, Tensor Flow, Py Torch, and more Familiarity with Snowflake (or similar cloud warehouse), SQL, and CI/CD systems Track record of delivering successful ML/AI products
features Required Qualifications: Bachelor's degree or equivalent practical experience 8 years of software development experience with data structures/algorithms 5 years of experience testing, launching software products, and 3 years of experience with software design and architecture Experience in Generative AI, responsible AI, and real-time data processing Experience with Py Torch, Tensor Flow, scikit-learn, and other deep learning frameworks
Create accessible and intuitive design solutions, with a strong focus on visual design mastery Qualifications: Minimum of 10+ years of experience in digital design Experience unblocking and unlocking the creative potential of individuals Proficiency in design software (e.
g. Figma, Adobe Suite) and advanced prototyping skills Bachelor's or Master's degree in Design, HCI, or a related field Proven expertise in interaction design and visual craft, with the ability to inform and influence product strategy
finance teams and familiarity with accounting principles and ledgers Project management experience with a history of driving implementation results Successful professional track record in a customer-facing capacity Willingness to be coached and open to learning Located in a timezone where scheduling calls between 9am and 3pm US Pacific Time is possible
