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Temporary Meta Machine Learning Jobs in Georgia (NOW HIRING)

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning, in pursuit of business optimization and impact. 3. Foster communication and ...

Job Title: Machine Programmer This role focuses on programming and operating CNC routers using ... Ability to adapt to a fast-paced, production-oriented environment after a short learning period.

New

Temp Warehouse Clerk

Atlanta, GA

$15.50 - $18.50/hr

... pallet wrap machines and maintain the highest possible safety standards Maintain cleanliness of entire warehouse and practice safe food handling procedures by learning and practicing IFS ...

Employment Type: Part-Time, Temporary Available shifts: Mid-Shift, Closing, Overnight Location ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Employment Type: Full-Time, Part-Time, Temporary Available shifts: Opening, Morning, Mid-Shift ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Employment Type: Full-Time, Part-Time, Temporary Available shifts: Opening, Morning, Overnight ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Employment Type: Temporary Available shifts: Opening, Morning, Overnight Location Walmart ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Employment Type: Full-Time, Temporary Available shifts: Overnight Location Walmart Supercenter ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Employment Type: Full-Time, Part-Time, Temporary Available shifts: Mid-Shift, Closing, Overnight ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Stocking Team Associate

Rincon, GA · On-site

$16 - $29/hr

Employment Type: Part-Time, Temporary Available shifts: Opening, Morning, Mid-Shift, Closing ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

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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 Georgia? The most popular types of Meta Machine Learning jobs in Georgia are:
What are popular job titles related to Temporary Meta Machine Learning jobs in Georgia? For Temporary Meta Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Georgia look for? The top searched job categories for Temporary Meta Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Temporary Meta Machine Learning jobs? Cities in Georgia with the most Temporary Meta Machine Learning job openings:
Head of Quantitative Financial Crimes

Head of Quantitative Financial Crimes

Truist

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Truist rating

8.3

Company rating: 8.3 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

34th of 141 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:The Senior Quantitative Model Development Officer II manages model development activities specific to a Line of Business, Function or Risk discipline. Core responsibilities specific to the model development life cycle include planning, data appropriateness, model estimation, model evaluation/interpretation and ensuring models are fit for intended use. Assistance responsibilities, which vary from model to model, include business process integration, model deployment and on-going model evaluation.
The Head of Quantitative Financial Crimes leads the design, development, and governance of advanced analytic and modeling capabilities to detect, prevent, and report financial crimes (including AML, fraud, sanctions, and cyber-enabled risks) across the enterprise. This role is responsible for building and overseeing a portfolio of statistical, machine learning, and network-based models; ensuring alignment with regulatory expectations (e.g., model risk management, explainability, and effective challenge); and integrating data, technology, and investigative workflows to enhance detection effectiveness while minimizing false positives and operational burden. The leader partners closely with Financial Crimes, Fraud, Compliance, and Technology units to deliver scalable solutions, drive continuous model performance monitoring and tuning, and embed quantitative rigor into financial crimes strategy. Additionally, the role establishes talent standards, development frameworks, and best practices for their quantitative team, ensures defensible documentation and audit readiness, and provides executive-level reporting on model performance, emerging risks, and program effectiveness.
About the Quantitative Office
The Quantitative Office (QO) is Truist's central and lead model development function, serving as a critical enterprise capability that underpins risk management, financial performance and strategic decision-making across the bank.
QO drives enterprise-wide impact by integrating and scaling advanced quantitative modeling disciplines within a unified strategic framework. Through specialized teams spanning Credit Loss, Quantitative Finance, Wholesale Risk Rating, Retail Underwriting and Compliance, and Financial Crimes - supported by horizontal delivery, governance, and quantitative asset management functions - QO develops and manages the majority of the bank's most important models.
As Truist's centralized model development authority, QO establishes consistent standards, strengthens technical rigor, and accelerates innovation. QO serves as a strategic engine that reduces risk, enhances model reliability, and optimizes performance across all business units.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

1. Manage model development/estimation activities across the model life cycle, including planning, data acquisition, estimation, evaluation, documentation, approval, model/business process integration and implementation

2. Build / lead a team of highly skilled quantitative model developers to develop risk models using advance modeling approaches and set the standard for excellent performance

3. Provide leadership / mentorship to other quantitative model development managers across various products, modeling disciplines and complexities.

4. Establish, maintain and administer model development infrastructure, process and procedures

5. Assist various parties (e.g., lines of business leads) with identifying/assessing viable model development opportunities

6. Assist with model compliance activities as it relates to Model Risk Management/SR 26-2 policy/standards

7. Assist client (model owner) with integrating model into the business process and model deployment activities, including production scoring support and sustainability, as appropriate

8. Provide on-going model support specific to evaluation/surveillance and interpretation of model performance

9. Provide consultation and represent client (model owner) during 3rd party assurance provider (e.g., Model Risk Management, Corp Audit, regulatory bodies) reviews and Q&A activities

QUALIFICATIONS

Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. Bachelor's degree in Statistics, Econometrics, Applied Mathematics, Operations Research, or other applied quantitative science, or equivalent education and related training.

2. 10+ years of relevant experience, or equivalent financial industry experience developing, documenting, implementing, or validating quantitative models

Preferred Qualifications:

1. Master's degree or higher in Statistics, Econometrics, Mathematics, or other applied quantitative science, or equivalent education and related training.

2. 3-5+ years of relevant experience supervising or acting as a team lead over teammates with quantitative educational and/or work backgrounds.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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About Truist

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Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019