Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
About the role
- AI/ML Engineer developing AI-powered security solutions at Contrast Security. Building and scaling intelligent systems for software protection with advanced ML and AI technologies.
Responsibilities
- Design, build, and deploy production-grade AI/ML systems to solve complex security problems.
- Design and implement advanced prompt engineering strategies and build complex, multi-step agentic workflows.
- Build and optimize the data pipelines, training workflows, and serving infrastructure that form the backbone of our AI platform.
- Partner closely with engineering teams and security researchers to integrate AI/ML models into the Contrast platform.
- Contribute to our engineering culture by participating in code reviews, mentoring team members.
Requirements
- 4+ years of professional software engineering experience building and deploying production systems.
- Expertise in Python and common AI/ML frameworks.
- Proficiency in Java for building and maintaining production-grade backend services.
- Hands-on experience building, training, and deploying ML models.
- Experience developing applications using Large Language Models (LLMs).
- Experience deploying applications in a cloud environment (e.g., AWS, GCP, Azure).
- A bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- A strong understanding of application security concepts and vulnerability types (preferred).
- Experience with MLOps tools and practices (e.g., Docker, Kubernetes, CI/CD) (preferred).
- Experience using AI coding assistants (preferred).
Benefits
- Offers Equity
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Lead development of Agentic AI capabilities and LLM applications for multiple mission management applications. Mentor teams to implement ML algorithms addressing customer challenges.
Staff AI/ML Engineer at CACI responsible for developing AI/ML algorithms and analyzing datasets. Join a high - performing team supporting national safety missions.
AI/ML Engineer at CACI developing machine learning algorithms for multiple applications. Collaborating with a research team to implement cutting - edge AI/ML solutions for customer missions.
Senior Computer Vision AI/ML Engineer leading a team in AI/ML algorithm implementation for remote sensing solutions. Responsibilities include training models and analyzing datasets with a focus on defense and commercial applications.
MLOps Engineer working on ML processes and robust workflows at Kensho. Collaborating with engineers to enhance tooling, services, and frameworks for machine learning.
Intern working on avionics hardware and software for Blue Origin. Gaining hands - on experience while contributing to space development projects.
Machine Learning Engineer engaged in recommendation and search, NLP, and image processing. Contributing to a major online dating app, Pairs, in Japan.
Senior Scientist II leading innovative AI and machine learning projects in oncology at Tempus. Collaborating with teams to advance predictive modeling and drug R&D initiatives.
Technical leader architecting and deploying advanced Gen AI and ML solutions for Walmart Connect. Driving innovation in ad targeting, personalization, and campaign analytics.