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Machine Learning Engineer Opt Jobs in Babson Park, FL

EHS Manager, Site

Winter Haven, FL · On-site

$72K - $98K/yr

You will partner with operations, maintenance, engineering, human resources, and frontline ... Champion a learning-focused culture grounded in the principles that error is normal, context ...

You will partner with operations, maintenance, engineering, human resources, and frontline ... Champion a learning-focused culture grounded in the principles that error is normal, context ...

Production Operator I - Packaging

Auburndale, FL · On-site

$14.25 - $17.25/hr

... programmable controls, as well as completingthe necessary filler, conveyor and palletizer ... Identify and report product or machine problems to production, maintenance, and/or warehouse ...

Machine Learning Engineer Opt information

See Babson Park, FL salary details

$28.2K

$115.4K

$173.4K

How much do machine learning engineer opt jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning engineer opt in Babson Park, FL is $115,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $138,900.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What is the difference between Machine Learning Engineer Opt vs Data Scientist?

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
What cities near Babson Park, FL are hiring for Machine Learning Engineer Opt jobs? Cities near Babson Park, FL with the most Machine Learning Engineer Opt job openings:

Adjunct, CNC, Engineering Technology

Polk State College

Winter Haven, FL • On-site

$41.37/hr

Part-time

Retirement

Re-posted 18 days ago


Polk State College rating

7.2

Company rating: 7.2 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

382nd of 617 rated colleges and universities


Job description

Salary: $41.37 Hourly
Location : Clear Springs - Advanced Technology Center
Job Type: Part-Time/Temporary
Job Number: 202600073
Org: Engineering Technology
Opening Date: 06/22/2026
Closing Date: 12/11/2026 12:00 AM Eastern
Please label all uploaded documents with your full name (for example: Jane_Doe_Resume). This helps ensure your materials are properly matched to your application.
If you are a currently active Polk State College employee, please create an account using your polk.edu staff email address. Our HR system will not recognize you as an active employee.
Description
Reporting to the campus Dean of Workforce Education, the adjunct faculty member is an important part of our academic community. The primary role of this position is to provide college-level instruction and academic-related activities designed to encourage, support, and enable student success. Working closely with the campus Associate Dean of Academics and the Department Coordinator/Program Director, adjuncts are issued a part-time, temporary term-to-term assignment.
Essential Functions/Duties
  • Teach courses in accordance with college and departmental policies and procedures, as well as Basic Course Information sheets.
  • Prepare and submit timely grade reports and other reports on student performance as may be scheduled or required.
  • Organize class activities and assignments, relating them to the overall learning outcomes of the course.
  • Provide input and work with other faculty and staff to review, produce and/or select course-related materials.

Typical Qualifications
Required Skills:
  • Extensive knowledge of the subject area(s) in which the individual is responsible for instruction.
  • Knowledge and understanding of the fundamentals of effective communication and of effective instruction.
  • Knowledge and understanding of the characteristics and challenges of community college students.
  • Knowledge and understanding of principles of curriculum development.
Working Conditions/Additional Information
  • This position is a part-time on-campus position located at our campus. (Remote/hybrid options are not available.)
  • Weekend and evening work may be required.
  • Position may be required to work during college closures (such as winter/spring break and inclement weather closures).
  • Reliable transportation is required for travel to campuses and centers. Possession of a valid Florida's Driver's License is required (or must be eligible to obtain a Florida's license within 30 days).

REQUIRED EDUCATION:
  • Master's degree in engineering, engineering technology, and industrial engineering field, with an expertise in CNC programming and operation, Computer-Aided Design and Additive Manufacturing.
or
  • Master's degree plus industry certification in NIMS CNC Milling and Lathe Programmer/Operation... Autodesk, SolidWorks, Fusion 360, and Mastercam. Plus 2 years' work experience in the field, Preferred experience with HAAS CNC machines and expertise in additive manufacturing.
Teaching experience is preferred.
Please note that Adjuncts are hired based on enrollment for the Fall and Spring semesters. Candidates will be contacted as positions become available.
Supplemental Information
Submissions that do not include all parts of the following required information will not be considered:
  • an electronic job application,
  • cover letter,
  • current vita/resume, and
  • unofficial transcripts.

Important Information
  • Upload unofficial transcripts when applying. If you need to request official transcripts, please have them sent directly to HR@polk.edu. Once opened or uploaded by you, they become unofficial.
  • If you are a retiree of the Florida Retirement System (FRS), please check with the FRS on how your current benefits will be affected if you are re-employed with the State of Florida. Your current retirement benefits may be canceled, suspended, or deemed ineligible depending upon the date of your retirement.
  • Polk State College participates in E-Verify. Candidates must provide documentation of eligibility to work in the United States. Polk State College does not provide visa sponsorship.
  • To request Veteran's Preference, please be sure to upload all necessary documents (DD-214, etc.) to your application.
  • Polk State College is a drug-free workplace.
  • Polk State College is committed to working with and providing reasonable accommodation to applicants and employees with disabilities. Reasonable accommodation is considered on a case-by-case basis.
  • Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1, etc.) will not be considered.
  • Reference checks, successful completion of a background check, and third-party Education Verification for all stated degrees will be required prior to employment.
  • Polk State College does NOT provide relocation assistance for this position.

Equal Opportunity Statement
Polk State College does not discriminate on the basis of race, color, national origin, sex, disability, or age in its programs, activities, or employment. For information about the College's equal access and equal opportunity policies and procedures, or to file a complaint, please contact:
Title IX Coordinator
3425 Winter Lake Road
Lakeland, FL 33803
863.669.2903
For additional information, visit
We encourage applicants to provide feedback on their experience or request help at Careers@polk.edu
This position is not eligible for benefits.
01
Are you over the age of 18?
  • Yes
  • No

02
Are you currently authorized to work in the United States for any U.S. employer?
  • Yes
  • No

03
Will you now or in the future require any type of employer sponsorship or immigration-related support to legally work for Polk State College? (This includes but is not limited to the following: H-1B, H-1B1, J-1, TN, E-3, O-1, F-1 CPT, F-1 OPT, F-1 STEM OPT.)
  • Yes
  • No

04
Are you currently in a period of F-1 CPT or OPT or seeking employment under one of these programs?
  • Yes
  • No

05
Are you a United States Veteran or a qualifying family member seeking to use Veterans' Preference? (Please upload your DD-214 documents to your profile/application.)
  • Yes
  • No

06
Are you a current employee at Polk State College?
  • Yes
  • No

07
Are you bilingual?
  • Yes
  • No

08
I am able to work 100% on campus and I do not require a remote or hybrid schedule.
  • Yes
  • No

09
Which statement below best describes the highest level of education you have completed?
  • High School Diploma/GED
  • Associate's Degree
  • Bachelor's Degree
  • Master's Degree
  • Master's Degree + 18 graduate hours
  • Doctorate Degree

10
Do you have a Master's Degree or higher in engineering, engineering technology, and industrial engineering field, with an expertise in CNC programming and operation, Computer-Aided Design, and Additive Manufacturing from a regionally accredited college or university?
  • Yes
  • No

11
How many years of professional experience in CNC programming and operation, Computer-Aided Design, or Additive Manufacturing do you have?
  • No experience
  • Less than 1 year of experience
  • 1 year but less than 2 years of experience
  • 2 years but less than 3 years experience
  • 3 years but less than 5 years experience
  • More than 5 years experience

12
Do you have a certification in NIMS CNC Milling and Lathe Programmer/Operation, Autodesk, SolidWorks, Fusion 360, or Mastercam?
  • Yes
  • No

13
How many total years of instructional/teaching experience do you have?
  • None
  • 1-2 years
  • 2-3 years
  • 3-5 years
  • 5-10 years
  • 10+ years

14
The information provided in your application must support your selected answers in the supplemental questions. The information you provide will be verified and documentation may be required. Please be honest and accurate as possible. You may be asked to demonstrate your knowledge and skills in a work sample or during the interview. By completing this supplemental questionnaire, you are attesting that the information you have provided is accurate. Any misstatements, omissions, or falsification of information may eliminate you from consideration or result in dismissal.
  • Yes, I understand and agree
  • No, I do not agree

Required Question

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