Senior Machine Learning Engineer
We usually respond within three days
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:
DEVELOP AND HIRE THE BEST: Be curious and improve continuously to foster personal development and professional growth.
LEAD: Take ownership, never kick the can, and drive things forward in a full-power mode. The company is in your hands.
EXPECT AND ADVOCATE CHANGE: Constantly welcome new ideas and opinions. Share insights responsibly with unwavering openness, honesty, and respect.
PRACTICE CUSTOMER OBSESSION: The customer always, always, always comes first. Solve the customer’s problem, be open to feedback, act on it, and the rest will follow.
Role overview
We are looking for a Senior Machine Learning Engineer who will play a pivotal role in harnessing the power of data to drive operational excellence. You will design, develop and deploy sophisticated data models, leverage cloud-native technologies, and contribute to our DevOps and Machine Learning operations.
Responsibilities
- Develop, validate, and maintain advanced data models and machine learning algorithms.
- Utilize cloud-native technologies to optimize data workflows and ensure seamless integration with our existing platforms.
- Conduct comprehensive data analysis and interpretation, delivering insights that will inform our business strategy and decision-making processes.
- Participate in cross-functional projects and collaborate with various teams to achieve company goals.
- Stay current with the latest industry trends and advancements in data science, cloud technologies, and DevOps practices.
- Ensure data compliance and security measures are upheld across all operations.
Requirements
- Proven experience in applied Data Science/Machine Learning, with a strong portfolio of projects that demonstrate your expertise.
- Strong programming skills in Python (proven experience with pandas, sklearn, pytorch would be a great plus) and SQL.
- Proficiency in cloud-native technologies and understanding of cloud architecture (AWS, GCP, Azure, or similar).
- Solid understanding of DevOps practices, with experience in CI/CD, infrastructure as code, containerization, and orchestration (Docker, Kubernetes, or similar).
- Familiarity with ML pipeline tools and practices, including data collection, preprocessing, model training, deployment, and monitoring.
- Excellent problem-solving abilities and attention to detail.
- Strong communication skills and the ability to work effectively in a team-oriented setting.
Bonus points
- Experience with MLOps tools like MLflow, Feast, Kubeflow.
- Experience with large-scale data processing tools like Spark, Ray, Apache Beam/Flink.
- Experience in training time-series and deep learning models
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,
- 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.
- Department
- Engineering
- Locations
- Europe (Remote), Lithuania, Warsaw
- Remote status
- Fully Remote
- Employment type
- Full-time
![Picture of Laurynas Stasys](https://images.teamtailor-cdn.com/images/s3/teamtailor-production/square_226-v4/image_uploads/fca3d905-3eaa-4175-9321-c7011833c87a/original.jpeg)
Lithuania
What is it like to work at CAST AI?
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Flexible hours and location
Work where and when you feel the most productive with minimum overhead of meetings and bureaucracy.
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Flat company structure
Getting in touch with the CEO, CTO, and all the other people from the CAST AI team is not only possible but encouraged.
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Highly skilled professionals
Work with the best of your peers, share, learn, and build an amazing product together with no one holding you back.
Is CAST AI’s product any good?
Truth is, our buyers often think it’s too good to be true, but then we overdeliver. Work on a product that you can be proud of. On something that actually saves companies millions every year by cutting their cloud bills in half.
The downside? It can be hard to explain your mom what the company you work for does.
About CAST AI
Started out of a personal frustration with ever increasing cloud bills, the CAST AI team is led by serial entrepreneurs who’ve built successful global companies before.
Senior Machine Learning Engineer
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