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Temporary Meta Machine Learning Jobs in Florida (NOW HIRING)

University of Miami

BIOSTATISTICIAN 3

Miami, FL · On-site

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click ... machine-learning and AI methods (e.g., neural networks, SVM). * Provide expert consultation on ...

The University of Miami

BIOSTATISTICIAN 3

Miami, FL · On-site

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click ... machine-learning and AI methods (e.g., neural networks, SVM). * Provide expert consultation on ...

University of Florida

OPS Engineer

Gainesville, FL · On-site

$35.92 - $40.71/hr

Temp Full-Time Location: Main Campus (Gainesville, FL) Categories: Computer Science, Artificial ... Strong understanding of the breadth of machine learning to include supervised, unsupervised ...

AAA USA, Inc.

Machinist Operator

Stuart, FL · On-site

$18.25 - $25/hr

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Essential Functions ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

AAA USA

Machinist Operator

Stuart, FL · On-site

$25 - $35/hr

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Essential Functions ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

AAA USA

Machinist Operator

Jupiter, FL · On-site

$25 - $35/hr

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Essential Functions ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

AAA USA, Inc.

Machinist Operator

Vero Beach, FL · On-site

$19.25 - $26.25/hr

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Essential Functions ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

AAA USA, Inc.

Machinist Operator

Jupiter, FL · On-site

$20.25 - $27.75/hr

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Essential Functions ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

AAA USA, Inc.

Machinist Operator

Jupiter, FL · On-site

$20.25 - $27.75/hr

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Essential Functions ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

AAA USA, Inc.

Machinist Operator

Stuart, FL · On-site

$18.25 - $25/hr

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Essential Functions ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

AAA USA, Inc.

Machinist Operator

Vero Beach, FL · On-site

$19.25 - $26.25/hr

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Essential Functions ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

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All JobsMeta Machine Learning JobsTemporary Meta Machine Learning JobsTemporary Meta Machine Learning Jobs in Florida

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?

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 is a temporary Meta machine learning job?

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

LAMP Developer (hybrid)

Vitaver & Associates, Inc.

Tallahassee, FL • Hybrid

Contractor

Posted 5 days ago

Job description

14842 - LAMP Developer (hybrid) - Tallahassee, FL
Start Date: ASAP
Type: Temporary Project.
Estimated Duration: 12+ months with possible extensions
Work Setting: Hybrid, environment consisting of both on-site and remote work
Only candidates able to relocate as required should apply to avoid removal from future consideration.
Our client is filling this contract position exclusively through approved staffing partners, so this opportunity is not available by applying directly with the client. If you're interested, we'd be happy to represent you throughout the hiring process.
Required:
  • Experience with Programming/systems analysis (2+ years);
  • Experience Designing, developing, enhancing, supporting, and maintaining enterprise web applications using the LAMP stack (Linux, Apache, MySQL, and PHP) and modern application frameworks and technologies, including Laravel, Symfony, Model-View-Controller (MVC), Entity Framework, or C#;
  • Experience with Relational database design, SQL development, and database administration using MySQL, Oracle, or Microsoft SQL Server;
  • Experience with Source control, version control, and DevOps tools, including GitHub, Azure DevOps, or Team Foundation Version Control (TFVC);
  • Experience Developing and integrating RESTful Application Programming Interfaces (APIs), middleware, or middle-tier database integration components;
  • Experience Troubleshooting and resolving application defects, ensuring data integrity, implementing application security best practices, and providing functional and technical support;
  • Experience Developing accessible web applications that comply with WCAG and Section 508 standards;
  • Experience with Application architecture, software development lifecycle (SDLC), testing, documentation, deployment, and maintenance;
  • Experience with Web technologies, including HyperText Markup Language (HTML), Cascading Style Sheets (CSS), JavaScript, Asynchronous JavaScript and XML (AJAX), JSON, jQuery, and Bootstrap;
  • Experience with RESTful APIs, web services, JSON/XML data exchange, and system integration;
  • Experience with Active Directory or enterprise authentication technologies;
  • Experience with Secure software development principles and cybersecurity best practices;
  • Experience with Relational database design and modern data platforms, including relational databases, SQL, NoSQL, and vector databases;
  • Experience with Cloud computing and modern application architectures;
  • Experience with Artificial Intelligence (AI), Machine Learning (ML), generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI-assisted software development tools, and intelligent document processing;
  • Bachelor’s degree in computer science, Information Systems, or other related field, or equivalent work experience.

Preferred:
    • Experience Evaluating, integrating, or developing solutions using Artificial Intelligence (AI), Machine Learning (ML), generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent document processing, AI-assisted software development tools, embeddings, vector databases, and NoSQL databases;
    • Experience with Cloud technologies;
    • Experience with Enterprise architecture.

Responsibilities:
    • Assist in the application design, development, enhancement, maintenance, and customer support of the Court Application Processing Systems (CAPS) and Digital Court Recording System (DCR);
    • Provide data and report;
    • Analyze the technical feasibility of proposed projects;
    • Resolve complex software problems;
    • Develop new productivity tools and methodologies;
    • Provide production support;
    • Design, develop, enhance, support, and maintain enterprise web applications and database integrations.