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Contract Apple Machine Learning Engineer Jobs in Cumming, GA

W2 Candidates Only We are seeking a Machine Learning Engineer to develop, deploy, and optimize machine learning models and AI solutions. The ideal candidate will have strong experience with Python ...

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $160/hr

Job Summary We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team at Speria MTech. The ideal candidate will play a crucial role in designing, building, and ...

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are seeking a skilled and forward-looking ML Engineer with experience in Large Language Models (LLMs ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162K - $342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors.You ...

Senior Machine Learning Engineer

Atlanta, GA

$100K - $138K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do ... Shape the team's feature-store strategy - feature contracts, backfills, and freshness SLAs - and ...

... the machine learning function at a market-leading insurance company. As one of the first data ... Leverage continuous engineering practices to deliver business value regarding effectiveness of the ...

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet ...

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

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Contract Apple Machine Learning Engineer information

See Cumming, GA salary details

$28.1K

$114.9K

$172.6K

How much do contract apple machine learning engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for contract apple machine learning engineer in Cumming, GA is $114,872.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $138,300.00 per year, depending on experience, location, and employer.

What is a contract Apple machine learning engineer?

Contract Apple Machine Learning Engineers are professionals hired on a temporary or project basis to develop and implement machine learning models and algorithms specifically for Apple’s products and platforms. They typically work on tasks such as optimizing machine learning workflows for iOS, macOS, or other Apple technologies, and may collaborate closely with Apple’s in-house teams. Their responsibilities can include data preprocessing, model training, evaluation, and integration into Apple’s ecosystem. These engineers are expected to have expertise in machine learning frameworks, programming languages like Python or Swift, and a strong understanding of Apple’s development tools. Contract roles often provide flexibility but may require quick adaptation to Apple’s proprietary systems and high standards.

What are the key skills and qualifications needed to thrive as a contract Apple machine learning engineer?

To thrive as a Contract Apple Machine Learning Engineer, you need a strong background in computer science, mathematics, and deep learning, typically with a relevant degree and experience in building ML models. Proficiency with Python, TensorFlow or PyTorch, Apple's Core ML framework, and version control systems is commonly required. Strong problem-solving skills, collaboration, and effective communication help you navigate project requirements and work with cross-functional teams. These skills and experiences are crucial for delivering high-quality, scalable machine learning solutions that align with Apple's standards and rapidly evolving technology needs.

What are the common challenges faced by contract Apple machine learning engineers when integrating ML models into Apple’s ecosystem?

Contract Apple Machine Learning Engineers often encounter challenges such as ensuring seamless integration of machine learning models with Apple’s proprietary platforms like iOS, macOS, or Core ML. Adapting to Apple’s strict security, privacy standards, and performance requirements is essential, as is optimizing models for real-time performance on Apple devices. Collaborating effectively with cross-functional teams—such as software developers, designers, and QA engineers—is crucial to deliver scalable and user-friendly ML features within project timelines.

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What job categories do people searching Contract Apple Machine Learning Engineer jobs in Cumming, GA look for?

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What cities near Cumming, GA are hiring for Contract Apple Machine Learning Engineer jobs?

Cities near Cumming, GA with the most Contract Apple Machine Learning Engineer job openings:

Machine Learning Engineer

innovitusa

Atlanta, GA • On-site

Contractor

Posted 12 days ago


Job description

Hiring: W2 Candidates Only

Job Description:
We are seeking a Machine Learning Engineer to develop, deploy, and optimize machine learning models and AI solutions. The ideal candidate will have strong experience with Python, machine learning frameworks, data processing, and cloud-based ML platforms.

Required Skills:

  • 5+ years of Machine Learning experience
  • Python
  • Scikit-learn
  • TensorFlow or PyTorch
  • Machine Learning algorithms
  • Pandas and NumPy
  • SQL
  • Model development and evaluation
  • Data preprocessing
  • Model deployment

Preferred Skills:

  • Generative AI
  • Large Language Models (LLMs)
  • NLP
  • Hugging Face
  • AWS SageMaker or Azure ML
  • MLflow
  • Docker and Kubernetes
  • MLOps
  • Experience with AI/ML production environments

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