Job Title: DevOps Engineer – AI/ML Platform Experience: 8–12+ years About the Role We are seeking a skilled DevOps Engineer with experience in AI/ML infrastructure to design, build, and maintain scalable, secure, and reliable cloud platforms that support AI
Minimum qualifications: Bachelors degree in Electrical Engineering or equivalent practical experience. Experience with programming or scripting (e.g., C, C++, Perl, TCL, Python), and working with debug tools (e.g., Verdi, SimVision/Indago, gdb) to support methodology and automation
Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 5 years of experience troubleshooting and advocating for customer needs, and triaging technical issues (e.g., hardware, software, application, operational, process). 5 years of
We turn complex, document-heavy, compliance-driven processes into intelligent digital systems — spanning EHS and permitting, engineering, and tax and financial advisory workflows — built on modern web applications, Microsoft Azure, Microsoft Fabric, APIs, and AI-enabled automation.
1. Cloud: (Mandatory): Proven technical experience with AWS, scripting, and automation • Hands-on knowledge on services and implementation such as Landing Zone, Control Tower, Transit Gateway, CloudFront, IAM, VPC, EC2, S3, Lambda, Load Balancers, Auto Scaling, etc.
Scope: This is a highly strategic, pure operations and infrastructure leadership role. It does not involve building data pipelines, ETL, or data models. You will act as the ultimate technical authority for platform reliability, security, and governance,
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