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Contract Google Machine Learning Engineer Jobs in Akron, OH

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Machine Learning Tutor

Akron, OH · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

DUTIES & RESPONSIBILITIES Design and develop machine learning and deep learning models for real ... Azure, or Google Cloud) Knowledge of RESTful APIs and microservices architecture PREFERRED ...

Responsibilities : • Design and develop machine learning and deep learning models for real-world ... Google Cloud) • Knowledge of RESTful APIs and microservices architecture Preferred : • ...

Oversee the production deployment of machine learning and LLM-powered applications, including RAG ... Proficiency with cloud and infrastructure technologies, including AWS, Azure, or Google Cloud ...

... machine learning engineering, platform engineering, MLOps, or DevOps. Experience building and ... or Google Cloud PREFERRED QUALIFICATIONS Experience developing LLM-powered applications in ...

AI Engineer

Cleveland, OH · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing ...

Google Data Specialist

Cleveland, OH · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

AI Engineer

Cleveland, OH · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

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Contract Google Machine Learning Engineer information

See Akron, OH salary details

$28

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How much do contract google machine learning engineer jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for contract google machine learning engineer in Akron, OH is $46.81, according to ZipRecruiter salary data. Most workers in this role earn between $39.33 and $48.51 per hour, depending on experience, location, and employer.
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What cities near Akron, OH are hiring for Contract Google Machine Learning Engineer jobs? Cities near Akron, OH with the most Contract Google Machine Learning Engineer job openings:
Infographic showing various Contract Google Machine Learning Engineer job openings in Akron, OH as of June 2026, with employment types broken down into 29% Full Time, 69% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $97,373 per year, or $46.8 per hour.

Senior Machine Learning Engineer (GenAI / Production Systems)

GHR Healthcare

Cleveland, OH • On-site

$80 - $120/hr

Other

Posted 12 days ago


Job description

We are seeking a Senior Machine Learning Engineer to join a high-impact, enterprise AI initiative focused on building production-grade machine learning and generative AI systems in a complex, data-rich environment.

This is an Onsite, Contract position C2C) working on real-world systems that require scalability, reliability, and measurable business impact—not experimental or research-only work.

  • Must have hands-on experience building and deploying ML systems in production
  • Must have experience working with sensitive, regulated, or compliance-driven data environments
  • No third-party submissions / no C2C

What You’ll Be Doing
  • Design and build end-to-end ML pipelines (data ingestion → feature engineering → model training → deployment → monitoring)
  • Develop and deploy LLM / GenAI solutions (RAG, NLP, prompt engineering, vector search)
  • Work with large, complex structured and unstructured datasets
  • Build scalable, production-ready services using modern cloud infrastructure
  • Partner with stakeholders to translate real business problems into ML solutions
  • Implement model monitoring, drift detection, and retraining strategies

What We’re Looking For
  • 7+ years of experience as a Machine Learning Engineer (not just Data Scientist/Analyst)
  • Strong experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Hands-on experience with:
    • ML pipelines / MLOps (CI/CD, model deployment, monitoring)
    • Cloud platforms (Google Cloud Platform)
    • Containerization (Docker, Kubernetes preferred)
  • Experience with GenAI / LLMs (RAG, embeddings, vector databases, LangChain, etc.)
  • Experience working with regulated or high-sensitivity data environments (financial, healthcare, gov, etc.)
  • Strong communication skills and ability to work cross-functionally

To Be Considered, Please Include:

(Resumes without this will NOT be reviewed)

In your resume or submission, briefly describe:

  1. A production ML system you built and deployed (what problem it solved, scale, tools used)
  2. A GenAI / LLM use case you’ve implemented (RAG, NLP, etc.)
  3. The type of data environment you worked in (regulated, high-compliance, etc.)
Why This Role
  • Work on real-world ML systems at scale
  • High visibility, high impact work
  • Collaborative, engineering-focused team
  • Rate: $80 - $120/hour (plus per diem)