Data Science Machine Learning & Cloud AI Platforms

Data Science•Machine Learning & Cloud AI Platforms (Austin, TX) | 2026-03-12 10:17:40 Easy Apply

Job Code :

JPC•67777 Job Description

Request ID:

118384-1

Job Title:

IT•Technology Architect | data science | Machine Learning Work Location with

ZIP:

Austin-TX-78753•Onsite Years of experience in each of the must-have skills: 7+ Years

Pay Rate :

$50•$55/hr W2 Primus

Client:

Pontoon/ Apple

Interview:

Virtual Technical Hiring Criteria (Must Haves) Top 3 Required skills: Machine Learning, Python, Google Cloud Platform (GCP)

Preferred Qualifications:

Experience with API development and integration. Knowledge of cloud platforms (AWS, Azure, GCP) for deploying observability tools. Prior experience in building or maintaining observability platforms.

Keywords:

Machine Learning, Python, Google Cloud Platform, Data Science ============================================================================================ Data Science•Machine Learning & Cloud AI Platforms

Pay Rate :

$50•$55/hr We have an urgent need for a Data Science•Machine Learning & Cloud AI Platforms for a position based in Austin, TX, USA. This role focuses on designing and delivering scalable machine learning solutions while leveraging modern cloud technologies to support enterprise-level data science and analytics initiatives. In this role, the Data Science will work closely with engineering, analytics, and product teams to design, build, and deploy machine learning solutions that power data-driven decision making. The position involves developing scalable data science workflows, building machine learning models, and integrating those models into production environments using cloud-based platforms. The candidate will also contribute to designing data pipelines, supporting system observability, and ensuring that deployed models perform reliably at scale. This role requires strong collaboration across cross-functional teams to translate complex business problems into practical machine learning solutions while ensuring performance, scalability, and operational efficiency within a cloud ecosystem. The ideal candidate should have strong expertise in Machine Learning, Python development, and Google Cloud Platform (GCP). Experience with API development and system integration is highly desirable, along with knowledge of cloud environments such as AWS, Azure, or GCP used for deploying observability and monitoring tools. Prior experience building or supporting observability platforms that monitor data pipelines, models, and infrastructure will be considered an advantage. Candidates who can directly work on our payroll are encouraged to apply. Interested candidates may connect with our recruiter. NIsha PRIMUS Global Services

Phone:

Desk•(972) 753-6500 Ext. 220

Email:

jobs@primusglobal.com