Principal Applied AI/ML Engineer (AWS Required)

Company OverviewWe’re seeking an exceptional Principal AI/ML Engineer to join our creative team. Oleria is an enterprise cybersecurity startup founded by notable industry senior leaders Jim Alkove and Jagadeesh Kunda, with deep security, data, and SaaS experience building and securing some of the world’s largest platforms and products used by billions of people worldwide every day. Oleria has received over $43M in funding from Evolution Equity Partners, Salesforce Ventures, Tapestry VC, Zscaler, and other technology luminaries. 
We recognize that identity-based attacks on cloud applications are becoming increasingly common, highlighting the importance of addressing access risks to prevent data breaches. Traditional access management methods are human-intensive and often have significant blind spots, making it challenging to manage access risks effectively. At Oleria, we are on a mission to revolutionize access control solutions for enterprise cloud applications, aiming to reduce the opportunity and scope of data breaches. 
Our esteemed target customers consist of Fortune 500 corporations and public sector organizations, making your contributions vital to improving the security of data for millions of people around the world.
Engineering at OleriaWe're building a data-driven, autonomous identity security platform. Our core is an advanced data platform that leverages AI to analyze access intelligence graphs, delivering adaptive and self-learning access controls. We're passionate about creating intuitive, customer-centric products that provide unparalleled visibility, control, and defense. We leverage graph technology and artificial intelligence to pioneer a new approach that eliminates complexities and human intervention in identity and access management. 
About YouYou're an AWS Cloud trailblazer with strong skills to deploy AI/ML modeling onto production. You work efficiently with backend and middle engineers to deploy AI models into our products within an AWS environment, and are proud to see the AI enhancements deliver high impact for customers. You crave a startup environment where your code shapes groundbreaking products. We offer autonomy, impact, and the opportunity to redefine identity security with AI/ML.
Your PlaygroundNo Ivory Towers: Ideas rule, not titles. Your expertise guides our tech stack, influences product strategy, and mentors future AI leaders.Code that Protects: Forget trivial tasks. You'll build AI models that detect threats, uncover vulnerabilities, and empower customers to secure their cloud identities.AI Frontier: We push boundaries. You'll experiment with cutting-edge AI/ML techniques, leverage cloud resources, and create systems that set new standards.Collaborative Spirit: We're a close-knit team valuing open communication. Your voice matters, and your ideas spark innovation.
Your StrengthsAI/MLOps: You possess deep expertise in deploying machine learning, data science, and algorithms with a proven track record of deploying production-ready models.Cloud: You harness the cloud's power (especially AWS) to build scalable, efficient AI solutions.Data: You extract insights from massive, complex datasets, transforming raw information into actionable intelligence using advanced data processing and feature engineering techniques.Problem Solving: Complex challenges excite you. You dissect them with creativity, logic, and a hacker's mindset, demonstrating a strong ability to design and implement innovative solutions.Mentorship: You're passionate about sharing knowledge, guiding junior engineers, and fostering a culture of growth and continuous learning.

Job Duties

• Build Data Pipelines: Create robust data ingestion, processing, and storage pipelines to handle massive volumes of cloud identity logs and metadata from diverse sources. Implement efficient ETL processes, data cleaning, and transformation techniques.
• Optimize and Deploy: Fine-tune models, deploy them at scale on AWS, and ensure their continuous improvement and performance. Utilize containerization and orchestration tools for efficient deployment and management.
• Integrate: Connect and integrate AI/ML with other products and cloud services to provide scalable, performant and cost-effective solutions and cohesive experience. 
• Collaborate on AI/ML Modeling: Work with data scientists to design, develop, and maintain machine learning models and algorithms to analyze cloud identity access data risks for governance, and detect anomalies, and threats. This includes: Data Analysis and Feature engineering, model training, evaluation, and optimization, algorithm development and implementation, addressing challenges like imbalanced datasets and concept drift
• Collaborate: Work closely with backend engineers, data scientists, and pro