ML Ops Architect
Tiger AnalyticsDallas, Texas, United States
Posted March 4, 2025
Full Time
About the Company
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
Job Description
Tiger Analytics is seeking a motivated Machine Learning Engineer to join a team of experts building and scaling their data science workbench and ML platform. The role involves implementing scalable systems, deploying and managing ML pipelines, collaborating on Agile teams, and ensuring robust monitoring and security of ML models. Candidates should be passionate about modern Machine Learning frameworks and collaborative problem-solving.
Requirements
- Implement scalable and reliable systems leveraging cloud-based architectures.
- Deploy and manage machine learning & data pipelines in production environments.
- Work on containerization and orchestration solutions for model deployment.
- Collaborate as part of a cross-functional Agile team.
- Leverage CICD best practices, including test automation and monitoring.
Benefits
- Significant career development opportunities
