Demonstrate considerable theoretical and applied understanding of subjects including Machine Learning, AI, Data Engineering, Business Intelligence, Probability and Statistics, Python, R, and SQL
Demonstrate considerable theoretical and applied understanding of subjects including Machine Learning, AI, Data Engineering, Business Intelligence, Probability and Statistics, Python, R, and SQL
Demonstrate considerable theoretical and applied understanding of subjects including Machine Learning, AI, Data Engineering, Business Intelligence, Probability and Statistics, Python, R, and SQL
Quick apply
Demonstrate considerable theoretical and applied understanding of subjects including Machine Learning, AI, Data Engineering, Business Intelligence, Probability and Statistics, Python, R, and SQL
ABOUT THIS POSITION We are looking for a Machine Learning Platform Engineer - Backend Services that will help us build out the platform that supportsthe training and application of our predictive ...
ABOUT THIS POSITION We are looking for a Machine Learning Platform Engineer - Backend Services that will help us build out the platform that supportsthe training and application of our predictive ...
ABOUT THIS POSITION We are looking for a Machine Learning Platform Engineer - Backend Services that will help us build out the platform that supportsthe training and application of our predictive ...
ABOUT THIS POSITION We are looking for a Machine Learning Platform Engineer - Backend Services that will help us build out the platform that supportsthe training and application of our predictive ...
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Machine Learning Engineer Python information
What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?
What is the salary of machine learning engineer in Python?
What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?
What is the difference between Machine Learning Engineer Python vs Data Scientist?
| Aspect | Machine Learning Engineer Python | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, Data Science, or related; Python skills; ML certifications | Bachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications |
| Work Environment | Develops scalable ML models, deploys algorithms, collaborates with engineering teams | Analyzes data, builds models, interprets results, communicates insights |
| Employer & Industry Usage | Tech companies, startups, AI-focused firms | Finance, healthcare, marketing, research institutions |
While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.
What engineer makes $500,000 a year?
What is a Machine Learning Engineer Python?
What is a $900000 AI job?
Is Python enough for ML engineers?
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Chair, Faculty (AI & Machine Learning)
Salt Lake City, UT • On-site
Full-time
Re-posted 11 days ago
Job description
- Cover all material defined in the course description and syllabus; meet course schedule expectations per the academic calendar
- Demonstrate considerable theoretical and applied understanding of subjects including Machine Learning, AI, Data Engineering, Business Intelligence, Probability and Statistics, Python, R, and SQL
- Deliver course content using active and project-based learning methodologies; develop effective assessments measuring applied student learning
- Maintain LMS with updated syllabi, materials, and grades; provide timely feedback on assignments and projects
- Use mid- and end-of-quarter evaluations to continuously improve course delivery
- Attend faculty meetings; collaborate with faculty to improve student outcomes; hold minimum 1-2 hours of office hours per weekday.
- Design and develop courses including Data Science, Applied AI Tools in Business, Data Analytics and Visualization, Applied Python for Data Analysis, Data Engineering, and Cloud-Based AI Solutions
- Evaluate and adjust degree curriculum through annual program audits and biannual PAC feedback; serve on the curriculum committee
- Oversee course supervision; guide course development using project-based and active learning methodologies
- Assist Corporate Relations in evaluating Enterprise Projects; evaluate student Capstone project proposals for technical rigor
- Manage department budget; monitor overall student performance across the program
- Build mentor relationships with students individually and in groups; address student complaints and problems respectfully
- Identify areas for personal development; collaborate with faculty to continuously improve course offerings and student outcomes
- Provide critical feedback to instructors on teaching effectiveness; conduct peer observations and faculty mentoring
- Participate in evaluating and interviewing teaching candidates; contribute to committee membership and academic metrics reporting
- Demonstrate excellent written and verbal communication, conflict resolution, and ethical conduct
Bachelor's Degree is required in Computer Science or Computer Engineering or Engineering Management.
SCHEDULE:
- Exempt position
- 40+ hours a week
- Occasional evenings and weekends, with advanced notice
REPORTS TO: Vice President, Academics
LOCATION: On-site
PHYSICAL EXPECTATIONS:
- Spending extended periods of time at the campus reception desk
- Sitting for extended periods
- Standing for extended periods
- Lift and carry up to 30 pounds
Neumont University is an equal opportunity employer and provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Neumont's Annual Security & Fire Safety Report is available online at https://www.neumont.edu/campus-safety under the Student Life section. This report is required by federal law to comply with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and contains policy statements and crime statistics for the school. The policy statements address the school's policies, procedures and programs concerning safety and security. You may also request a paper copy from the Vice President, Student Affairs.
About Neumont College of Computer Science
Sourced by ZipRecruiter
Industry
Colleges, universities, and professional schools
Company size
51 - 200 Employees
Headquarters location
Salt Lake City, UT, US
Year founded
2003