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High School Diploma or GED equivalent
Must be at least 18 years of age
Valid unrestricted driver's license with a clean driving record in the last 3 years.
Demonstrated functional expertise in one or more areas pertaining to Carvana's reconditioning process
Requires use of safety equipment that may include but not limited to face shield or goggles, non-slip shoes, gloves, mask, and other protective garments and equipment.
Experience using computers
Ability to work overtime and on weekends.
This role is not visa eligible.
Ability to effectively delegate tasks to team members.
Ability to multitask and prioritize effectively.
Ability to communicate clearly and concisely, both written and oral.
Demonstrated understanding of our current reconditioning processes and lean principles
Ability to work variable schedule(s) as necessary.
Must be able to lift up to 60 pounds independently; majority of lifting from knee to shoulder heights; other lifting required from various levels
Requires standing for extended periods of time with frequent stretching, reaching, walking, stooping, pushing, and/or pulling in an environment that may be cold, hot, noisy, and wet and may have fumes or odors due to vehicle maintenance.
Ability to communicate and interact with others effectively in a professional, courteous manner.
Hiring is contingent on passing a complete background check.
This role is not eligible for visa sponsorship.
Ability to resolve complex issues with guidance from others.
Ability to maintain high volume and high-quality content in a fast-paced environment.

SmartExplore AI is experimental.

New, Posted 1 day ago

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South Salt Lake, UT 84119

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Strong understanding of distributed systems and experience in building scalable and redundant services.
Solid understanding of data science, machine learning models, operations and deployment methodologies
6+ years of engineering or related experience, including technical and organizational leadership.
Solid understanding of a backend language (Go, Python, Java, C#, etc.).
Operational experience with web-scale infrastructure on public cloud deployments (GCP, AWS, Kubernetes).
Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
Experience with data and analytical systems such as Postgresql, data warehousing, data lakes, embedded analytics, or similar technologies.

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Midvale, UT 84047

OnsiteFlexible ScheduleBilingual Preferred

Education: High school diploma or equivalent (GED)
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AI & Machine Learning Engineering Consultant - Life Sciences Sector - Manager - Consulting

Ernst & Young Oman

Salt Lake City, UT 84118

RemoteHealth InsurancePaid Time OffRetirement Benefit

Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques
Commercial acumen and negotiation skills
2-4 years of experience directly managing technical teams
Skills in Technical Design Optimization
Digital fluency and emotional agility
Strong relationship-building skills
A Bachelor's degree required (4-year degree).
Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements
Strong skills in Python
Proven ability to lead teams and manage change
Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform
Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch
Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams
Demonstrated client trust and value
Understanding of data structures, data modelling and software engineering best practices
Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation
6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning
Experience with natural language processing and deep learning
Experience with model retraining and feedback loop methodologies
Experience with life science commercial operations data standards and interoperability protocols.
Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions
Experience with model and solution monitoring and reporting