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Temporary Machine Learning Architect Jobs (NOW HIRING)

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team ...

Ontrac Solutions

Machine Learning Engineer

Chicago, IL · On-site

$70 - $90/hr

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation ... The selected engineers will work under the direct guidance of a Staff ML Architect and will focus ...

Qualcomm

Machine Learning Engineer

San Diego, CA · On-site

... architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions. • Assists in the development of optimized software to ...

Spotify

Machine Learning Engineer

... architecture, and infrastructure decisions to support new and diverse machine learning architectures. • Work with Data and ML Engineers to support transitioning machine learning models from ...

Quantiphi, Inc.

OR

$66.25 - $80/hr

Technical Architect Machine Learning Engineer - Agentic AI & Multi-Agent Systems Experience Level : 8-12 years Location: US / Canada Job Summary: We are seeking an experienced Senior Machine Learning ...

Quantiphi, Inc.

Technical Architect - Machine Learning

$67.75 - $82/hr

Technical Architect Machine Learning Engineer - Agentic AI & Multi-Agent Systems Experience Level : 8-12 years Location: US / Canada Job Summary: We are seeking an experienced Senior Machine Learning ...

Ontrac Solutions

Machine Learning Engineer

Chicago, IL · On-site

$70 - $90/hr

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation ... The selected engineers will work under the direct guidance of a Staff ML Architect and will focus ...

Pelica Health

Machine Learning Engineer

The Machine Learning Engineer will build and manage production machine learning systems, design ... Make architectural decisions around model choice, evaluation metrics, retraining cadence, and ...

phData

OR

We are looking for a Principal Solutions Architect to join our Machine Learning team. In this role, you will lead the architecture, implementation, and lifecycle management of AI/ML applications that ...

CD PROJEKT RED

$186.90K - $257K/yr

CD PROJEKT RED is looking for a Machine Learning & Game Tech Architect to join our R&D AI Team! In this role, you'll be the key architect behind complex AI and game system integration, enabling novel ...

CD PROJEKT RED

Machine Learning & Game Tech Architect

$186.90K - $257K/yr

CD PROJEKT RED is looking for a Machine Learning & Game Tech Architect to join our R&D AI Team! In this role, you'll be the key architect behind complex AI and game system integration, enabling novel ...

Apple

Physical Design Engineer, Machine Learning

San Jose, CA · On-site

$159.40K - $164.10K/yr

As a member of the physical design machine learning architecture team, you will be part of a dynamic team that is building the most efficient application processors on the planet, powering the next ...

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Temporary Machine Learning Architect information

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$128.8K

$201.5K

How much do temporary machine learning architect jobs pay per year?

As of May 31, 2026, the average yearly pay for temporary machine learning architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Temporary Machine Learning Architect jobs? Cities with the most Temporary Machine Learning Architect job openings:
What are the most commonly searched types of Machine Learning Architect jobs? The most popular types of Machine Learning Architect jobs are:
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Temporary Machine Learning Architect jobs near you

Machine Learning Engineer

Ontrac Solutions LLC

Chicago, IL • On-site

$70 - $90/hr

Contractor

Posted 2 days ago

Job description

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation engagement for one of our clients.
This role is ideal for junior-to-mid-level engineers with strong Google Cloud Platform experience and a focus on building, maintaining, and supporting production-grade machine learning systems.
The selected engineers will work under the direct guidance of a Staff ML Architect and will focus heavily on daily MLOps execution, pipeline maintenance, model reliability, and production support for a high-traffic digital platform.
Required Credentials
  • 2+ years of experience in machine learning engineering, data engineering, software engineering, or a related technical role.
  • Hands-on experience supporting production or near-production ML systems.
  • Bachelor's degree in Computer Science, Engineering, Data Science, Machine Learning, or equivalent practical experience.
Required Qualifications
  • Solid hands-on experience with the GCP ecosystem, particularly Vertex AI components such as Workbench, Pipelines, and Model Registry.
  • Proficiency with modern ML frameworks, including PyTorch or similar technologies.
  • Experience with containerization tools, especially Docker, for automated builds and deployments.
  • Practical experience managing data processing workflows using Apache Spark and Airflow.
  • Understanding of MLOps best practices, including model deployment, monitoring, training workflows, inference support, and pipeline reliability.
  • Familiarity with real-time model serving and infrastructure tools such as Triton Inference Server and Terraform is highly preferred.
  • Strong problem-solving skills with the ability to troubleshoot, maintain, and optimize ML pipelines in a production environment.
  • Collaborative mindset with the ability to execute technical tasks reliably under the guidance of a senior architect.
Key Responsibilities
  • Support the design, deployment, monitoring, and maintenance of machine learning models in a high-traffic production environment.
  • Maintain, troubleshoot, and optimize end-to-end ML pipelines from raw data ingestion through offline and online model evaluation.
  • Execute daily MLOps tasks, including model training, inference support, pipeline monitoring, and deployment maintenance.
  • Work with tools such as GCP, Vertex AI, Spark, Airflow, Docker, PyTorch, and related MLOps technologies.
  • Build and manage automated containerized deployments to support continuous model operations.
  • Partner closely with the Staff ML Architect and other ML Engineers to ensure models are reliable, scalable, and production-ready.
  • Help identify and resolve performance, reliability, and scalability issues across ML workflows and infrastructure.
Preferred Qualifications
  • Prior experience supporting high-traffic digital platforms or consumer-facing products.
  • Experience with Triton Inference Server, Terraform, or similar infrastructure and real-time serving tools.
  • Experience working in staff augmentation, consulting, or fast-moving client-facing environments.
  • Strong interest in building reliable, production-grade ML systems rather than only experimental or research-focused models.
About Ontrac Solutions
Ontrac Solutions is a strategic consulting and technology solutions firm helping companies Innovate. Create. Elevate. through digital product consulting, cloud solutions, AI-based data solutions, and staff augmentation.
We partner with clients to bring the right technical expertise, execution support, and strategic guidance to complex business and technology initiatives.

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