Overview
On Site
Contract - Independent
Skills
Workflow
Data Engineering
Leadership
Software Engineering
MongoDB
Design Thinking
Pivotal
Cloud Foundry
Evaluation
API
Lifecycle Management
Technical Direction
People Management
Python
Interfaces
Collaboration
Operational Efficiency
Google Cloud Platform
Google Cloud
Splunk
Grafana
GitHub
Continuous Integration and Development
Continuous Integration
Artificial Intelligence
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Privacy
Marketing
Job Details
Location: Austin, TX
Description:
Title: AI/ML Data Reliability Engineer - AIOps (Python/Google Cloud Platform)
Location: Austin, TX - 100% On-Site
Duration: 12+ Months (Contract)
Citizenship Requirement: U.S. Citizen, Permanent Resident or EAD
Position Overview:
We are seeking a AI/ML Data Reliability Engineer to join our AIOps team, driving the design and delivery of intelligent, automated solutions leveraging modern AI and ML technologies. This team's mission is to explore and implement the latest advancements in Generative AI, ML, and automation tools to streamline manual workflows and develop innovative internal and external applications.
Required Skills & Qualifications:
Nice to Have:
Key Responsibilities:
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
Description:
Title: AI/ML Data Reliability Engineer - AIOps (Python/Google Cloud Platform)
Location: Austin, TX - 100% On-Site
Duration: 12+ Months (Contract)
Citizenship Requirement: U.S. Citizen, Permanent Resident or EAD
Position Overview:
We are seeking a AI/ML Data Reliability Engineer to join our AIOps team, driving the design and delivery of intelligent, automated solutions leveraging modern AI and ML technologies. This team's mission is to explore and implement the latest advancements in Generative AI, ML, and automation tools to streamline manual workflows and develop innovative internal and external applications.
Required Skills & Qualifications:
- 5+ years of experience in Python development, with strong background in AI/ML or data engineering.
- Proven leadership experience guiding technical teams or projects in an AI/ML or software engineering environment.
- Hands-on experience integrating or building applications using LLMs (GPT, Claude, etc.).
- Proficiency with Google Cloud Platform (Google Cloud Platform) and related AI/ML services.
- Experience with GitHub Actions, Splunk, Grafana, and MongoDB.
- Strong understanding of AIOps concepts, automation frameworks, and observability tools.
- Ability to balance strategic design thinking with hands-on development and delivery.
Nice to Have:
- Experience with PCF (Pivotal Cloud Foundry).
- Prior exposure to GenAI platform adoption or evaluation within enterprise environments.
- Familiarity with data pipelines, API development, and AI model lifecycle management.
Key Responsibilities:
- Lead a team of 4 Data Engineers, providing technical direction, architectural guidance, and hands-on coding support (Does not required people management).
- Design and build Python-based AI/ML tools, both in-house and integrated with enterprise platforms.
- Develop applications powered by LLMs (e.g., GPT, Claude) - embedding AI models at the foundational layer through to end-user application interfaces.
- Collaborate with stakeholders to identify opportunities where AI/ML can enhance operational efficiency and enable new capabilities.
- Integrate AI solutions with existing infrastructure using Google Cloud Platform (Google Cloud Platform) as the primary environment.
- Leverage tools such as Splunk, Grafana, and GitHub Actions for observability, automation, and continuous integration.
- Partner with cross-functional teams to adopt or extend external AI platforms and develop creative solutions tailored to organizational needs.
- Participate in end-to-end delivery of GenAI and ML applications - from experimentation to production deployment.
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.