
201 - 500 employees
Founded 2019
☁️ SaaS
🤖 Artificial Intelligence
🤝 B2B
SaaS • Artificial Intelligence • B2B
Cast AI is a SaaS platform that automates Kubernetes application performance, infrastructure, and cost optimization for cloud-native teams. It connects to EKS/AKS/GKE and on-prem clusters with no code changes, uses predictive models and runtime signals to rightsize pods, scale nodes, optimize GPUs and Spot instances, and run approved self-healing runbooks to maintain reliability and reduce cloud spend. Cast AI targets platform, SRE, and FinOps teams and supports AI/LLM workloads, GPU optimization, and real-time workload placement and cost intelligence.
🔥 0 minutes ago
Where this job comes from
Posted on Cast AI's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

201 - 500 employees
Founded 2019
☁️ SaaS
🤖 Artificial Intelligence
🤝 B2B
SaaS • Artificial Intelligence • B2B
Cast AI is a SaaS platform that automates Kubernetes application performance, infrastructure, and cost optimization for cloud-native teams. It connects to EKS/AKS/GKE and on-prem clusters with no code changes, uses predictive models and runtime signals to rightsize pods, scale nodes, optimize GPUs and Spot instances, and run approved self-healing runbooks to maintain reliability and reduce cloud spend. Cast AI targets platform, SRE, and FinOps teams and supports AI/LLM workloads, GPU optimization, and real-time workload placement and cost intelligence.
• Design, execute, and evaluate data science experiments to refine models and improve outcomes • Create, validate, and maintain machine learning algorithms for tabular and time-series data • Perform deep-dive data analysis and deliver actionable insights to shape business strategies • Collaborate with cross-functional teams to align data science projects with company goals • Keep up with advancements in data science, cloud technologies, and DevOps • Write, debug, and optimize complex SQL queries • Navigate OLAP and OLTP systems effectively • Collaborate with Machine Learning and Data Engineers to bring models into production • Provide AI expertise across the organization
• 5+ years of hands-on experience in data science and machine learning, with a proven portfolio of impactful projects • Experience training tabular and time-series models using classical machine learning and deep learning approaches • Proficiency in building data pipelines, training models, and conducting experiments using industry-standard tools • Advanced SQL skills, including debugging complex queries • Solid understanding of OLTP vs. OLAP systems • Exceptional analytical skills with a detail-oriented and innovative approach • Strong verbal and written communication skills • Experience with cloud platforms such as AWS, GCP, or Azure and container tools like Kubernetes • Expertise in ML pipeline development, including data preprocessing, model training, deployment, and monitoring • Familiarity with MLOps tools like MLflow or Feast • Hands-on experience with large-scale OLAP systems such as ClickHouse, BigQuery, or Snowflake • Knowledge of advanced techniques for handling imbalanced datasets and other complex modeling challenges
• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) • Collaborate with a global team of cloud experts and innovators • Flexible, remote-first global environment • Equity options • Private health insurance • Fast-paced workflow with quick feedback • 10% of work time for personal projects or self-improvement • Learning budget for professional and personal development, including international conferences and courses • Annual hackathon • Team-building budget and company events • Equipment budget • Extra days off
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
🕒 April 1
Senior Data Scientist focused on delivering business insights through data analysis for MariaDB applications. Join a skilled team with high autonomy and impact on operations.