Why CAST AI?
CAST AI is the leading Kubernetes cost optimization platform for AWS, GCP and Azure customers. The company is on a mission to deliver a fully automated Kubernetes experience. What’s unique about CAST AI is that its platform goes beyond monitoring clusters and making recommendations; it utilizes advanced machine learning algorithms to analyze and automatically optimize clusters, saving customers 50% or more on their cloud spend, improving performance and reliability, and boosting DevOps and engineering productivity.
The company has raised $73M from investors, including Cota Capital, Creandum, Uncorrelated Ventures, and Vintage Investment Partners. CAST AI has more than 120 employees globally and is headquartered in Miami, Florida.
However, this is merely the beginning. Our product roadmap is filled with exciting innovations that are yet to come. We are searching for intelligent, motivated, and self-reliant people to help us fulfill this ambitious mission.
Core values that hold us all together:
PRACTICE CUSTOMER OBSESSION. Focus on the customer journey and work backwards. Strive to deliver customer value and continuously solve customer problems. Listen to customer feedback, act, and iterate to improve customer experience.
LEAD. Take ownership and lead through action. Think and act on behalf of the entire company to build long-term value across team boundaries.
DEVELOP AND HIRE THE BEST. Strive to raise the performance bar by continuously investing in yourself, the team and by hiring the best possible candidates for every position. Drive towards personal development and professional growth, and mentor others to raise the collective bar.
EXPECT AND ADVOCATE CHANGE. Strive to innovate and accept the inevitable change that comes with innovation. Constantly welcome new ideas and opinions. Share insights responsibly with unwavering openness, honesty, and respect. Once a path is chosen, be ready to disagree and commit to a direction.
Role overview
We are seeking a dynamic and innovative Senior Data Scientist to join our forward-thinking team. In this pivotal role, you will leverage data to drive operational excellence and spearhead the development of sophisticated machine learning models. Collaborate with top-tier Machine Learning and Data Engineers to bring these models into production and provide AI expertise across the organization, ensuring data-driven decision-making and innovative solutions.
Responsibilities
- Develop Advanced Models: Design, validate, and maintain state-of-the-art data models and machine learning algorithms.
- Data Analysis: Perform in-depth data analysis and interpretation, delivering actionable insights that shape our business strategy and decision-making processes.
- Collaborative Projects: Lead and participate in cross-functional projects, working closely with various teams to achieve company objectives.
- Industry Trends: Stay at the forefront of industry trends and advancements in data science, cloud technologies, and DevOps practices.
- Data Integrity: Ensure strict compliance with data security measures and uphold the highest data integrity standards across all operations.
Requirements
- Experience: Minimum of 5 years of hands-on experience in Data Science and Machine Learning, with a proven track record demonstrated through a robust portfolio of projects.
• Technical Skills: Proficiency in programming languages such as Python and SQL.
• Problem-Solving: Exceptional problem-solving skills and a meticulous attention to detail.
• Communication: Excellent communication skills and the ability to thrive in a collaborative, team-oriented environment.
Bonus points
- Advanced Modeling: Expertise in training tabular, Transformer, and/or Reinforcement Learning models.
• Large Language Models: Experience with Large Language Models (LLMs).
• Cloud Technologies: Proficiency in cloud-native technologies and an understanding of cloud architecture (AWS, GCP, Azure, or similar).
• ML Pipelines: Experience with ML pipeline tools and practices, including data collection, preprocessing, model training, deployment, and monitoring.
• MLOps Tools: Familiarity with MLOps tools such as MLflow, Feast, and Kubeflow.
• Large-Scale Processing: Experience with large-scale data processing tools like Spark, Ray, and Apache Kafka.
What's in it for you?
- Team of highly skilled professionals to work with and learn from,
- Impact and visibility. Our organization is flat, getting in touch with CEO or CTO is a common practice here,
- Short feedback loop. We have an obsession with customer satisfaction. The ship features fast and gets instant feedback. Feature projects tend to be completed in 1 to 4 weeks, depending on the scope,
- Monthly salary from €6000 to €8000 (gross) depending on the level of experience,
- Flexible working hours. We deliver instead of sitting in the office 8 to 5,
- Skin in the game. Every employee gets a share of the company,
- Time to focus on work with a minimum overhead of meetings, bureaucracy, etc.
- 10% time to focus on self-improvement or personal projects.
