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Temporary Meta Machine Learning Jobs in Florida (NOW HIRING)

University of Miami

Research Associate 2

Miami, FL

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click ... modeling and machine learning, and develop computational workflows using R, Python, and GitHub.

The University of Miami

Research Associate 2

Miami, FL · On-site

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click ... modeling and machine learning, and develop computational workflows using R, Python, and GitHub.

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Temporary Meta Machine Learning information

What are some common challenges faced by professionals in temporary machine learning roles at Meta, and how can they be addressed?

Professionals in temporary machine learning roles at Meta often encounter challenges such as quickly acclimating to complex codebases, integrating with established teams, and delivering impactful results within a limited timeframe. Success in these roles typically requires strong technical skills, adaptability, and effective communication. Proactively seeking guidance, leveraging available documentation, and collaborating closely with permanent team members can help overcome these hurdles and maximize contributions during the temporary assignment.

What is the difference between Temporary Meta Machine Learning vs Data Scientist?

AspectTemporary Meta Machine LearningData Scientist
CredentialsTypically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are commonRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous
Work EnvironmentProject-based, often contract roles within tech companies, startups, or consulting firmsFull-time or contract roles in various industries including finance, healthcare, and tech
Industry UsagePrimarily in tech, AI, and machine learning-focused companiesWidely used across multiple industries including finance, healthcare, marketing, and tech

Temporary Meta Machine Learning roles focus on short-term projects involving machine learning model development and deployment, often requiring specialized technical skills. Data Scientist roles are broader, encompassing data analysis, statistical modeling, and insights generation across diverse industries. While both roles require strong analytical skills and technical knowledge, Temporary Meta Machine Learning positions are more specialized in AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a Temporary Meta Machine Learning Engineer, and why are they important?

To thrive as a Temporary Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically with experience in Python and relevant ML frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms, and version control systems is often required, along with a proven ability to rapidly learn new technologies. Strong problem-solving skills, adaptability, and effective communication are essential for collaborating within dynamic teams and meeting project goals on tight timelines. These skills ensure that you can quickly contribute to impactful ML projects, deliver results efficiently, and integrate well into fast-paced, innovative environments.

What are Temporary Meta Machine Learning jobs?

Temporary Meta Machine Learning jobs are short-term positions at Meta (formerly Facebook) that focus on developing, deploying, or researching machine learning models and technologies. These roles may support ongoing projects, fill gaps during employee leave, or address spikes in workload. Responsibilities can include data preprocessing, model training, evaluation, and collaborating with cross-functional teams. Temporary roles often give candidates exposure to Meta's cutting-edge AI tools and processes, and may sometimes lead to permanent opportunities.
What are the most commonly searched types of Meta Machine Learning jobs in Florida? The most popular types of Meta Machine Learning jobs in Florida are:
What are popular job titles related to Temporary Meta Machine Learning jobs in Florida? For Temporary Meta Machine Learning jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Florida look for? The top searched job categories for Temporary Meta Machine Learning jobs in Florida are:
What cities in Florida are hiring for Temporary Meta Machine Learning jobs? Cities in Florida with the most Temporary Meta Machine Learning job openings:
Temporary Meta Machine Learning jobs near you

Financial Technology (Adjunct) Faculty

Hcfl

Brandon, FL

$78/hr

Part-time

Posted 14 days ago

Job description

Position Summary:

Financial Technology (Adjunct) Faculty

Adjunct faculty serve as temporary part-time faculty and are appointed as needed on a semester-by-semester basis. The primary responsibility includes teaching of college-level courses and/or labs in Financial Technology courses, service and support of college policies and procedures, and professional development.

Adjunct job postings are pooled positions. These positions are filled when a vacancy occurs.

Additional Job Information:

  • Plan, organize, and teach to promote successful student learning outcomes.
  • Assist in coordinating policies, procedures, and curriculum to assure compliance with HCC policies and standards.
  • Collaborate with the full-time faculty in discipline to ensure continuity in the courses within the Financial Technology program.
  • Plan, organize, and teach to promote successful student learning outcomes.
  • Demonstrate strategies that will encourage the acquisition of knowledge, skills and abilities in a learning-centered environment.
  • Use observational, oral, and/or written assessment to direct and enhance learning in a timely manner.
  • Use current and emerging technologies and alternative delivery methods to enhance student learning.
  • Observe college policies and procedures.
  • Demonstrate commitment to professional development.
  • Be able to work effectively to meet the needs of diverse student populations.
  • Assist in coordinating policies, procedures, and curriculum to assure compliance with HCC and accreditation policies and standards.

Required Qualifications:
Master's Degree with at least 18 credit hours in any combination of the qualifying fields:

Business, Business Analytics, Computer Engineering, Computer Information Administrator, Computer Information Systems, Computer Programming, Computer Science, Data Analytics, Data Science, Database Design, Finance, Information Security, Information Systems, Machine Learning, Management Information systems, Network Administrator


Demonstrated experience in the Financial Technology Industry.

Pay Rate:

  • Adjunct faculty are compensated at $78.00 per instructional point (based on the number of assigned load points).
  • No distinction is made for advanced degrees, and pay is calculated based on actual classes taught (the load points).
  • If a part-time instructor is absent from his/her class, the number of sessions missed will be deducted from his/her pay on a prorated basis. (If a class is scheduled to meet 15 times per term and one session is missed by the instructor, 1/15th of his/her salary for the class will be deducted.)

How load points are generated:

(1) one lecture or distance learning credit hour generates 10 load points and

(2) one laboratory contact hour or one clinical contact hour generates 8 load points.

CLOSING DATE: Open until further notice.

Hillsborough Community College is an Equal Opportunity Employer, we believe that diversity and inclusion among our applicants and employees is critical to our success as a community partner.

All qualified applicants will receive consideration for employment opportunities without regard to race, color, religion, sex, pregnancy, national origin, age, physical/mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, and military/veteran status.

Preference willalsobe given to veterans and spouses who are eligible under the Veterans' Preference Law. At time of application, submittal of Form DD214 is theminimumrequirement for veterans' preference claim.Note: Please upload your DD214 as an attachment as part of your application at the time of submission.

The selected candidate identified for this position will be required to successfully complete a Level II criminal background check, which includes fingerprinting.

Hillsborough Community College participates in the US E-Verify program.

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