Senior Machine Learning Engineer, CAST AI
Monthly salary: 6,500 - 9,000
Cloud cost optimization & automation
Open for applications
Cloud cost optimization & automation
201-500 employees
Open for applications
Monthly salary: 6,500 - 9,000
201-500 employees
Company mission
To pioneer a brighter future of cloud computing.
Role
Who you are
- 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
Desirable
- 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 the job involves
- 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
- Develop and maintain ML training, validation, and deployment pipelines
- Utilize cloud-native technologies to optimize data workflows and ensure seamless integration with our existing platforms
- Participate in cross-functional projects and collaborate with various teams to achieve company goals
- Collaborate with data scientists to streamline model hand-off and production readiness
- 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
Application process
- We usually respond within three days
Our take
Managing cloud deployments effectively to control costs has become a priority for organizations of all sizes. CAST AI drives cloud optimization and cost reduction by using AI and machine learning to analyze a company’s cloud environment to identify the resources required for maximum performance.
CAST AI’s platform supports all three major cloud service providers; Microsoft Azure, Google Cloud, and Amazon Web Services. When cloud providers have unused machines they are typically discounted by 60-70%, however, if AWS (for example) needs that machine back, they give little warning before reclaiming it. CAST AI is able to automatically detect this, and immediately replace it, meaning companies using its platform will never experience an outage of discounted machines.
As more enterprises embrace cloud technologies, CAST AI is a strong choice of provider as it provides customers with a unified, automated platform, making Infrastructure as a Service (IaaS) more efficient and budget-friendly. The company has seen considerable investment that will be spent on attracting new customers, as well as helping to expand the CAST AI range of products.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Nov 2023
$35m
SERIES B
Mar 2023
$20m
EARLY VC
Total funding: $72.7m
Company benefits
- Flexible hours
- Remote work
- Team of highly skilled professionals to work with and learn from
- Impact and visibility - our organization is flat
- Short feedback loop
- 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
Company values
- Develop 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 on a full-power mode. The company is in your hands
- Be Open Minded: Constantly welcome new ideas and opinions. Share insights responsibly with unwavering openness, honesty, and respect
- 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
Company HQ
Downtown Miami, Miami, FL
Articles
Leadership
Yuri Frayman
(Co-Founder & CEO)Co-founder & former CEO of ZENEDGE, Frayman Group, Viewdle, and LegalKEY Technologies. Founder & former Executive Chairman of CUJO AI. Current Director of Blumarine Group, and is a Board Member/Advisor at Koop Technologies, Secerus, and Perthera AI.
Leon Kuperman
(Co-Founder & CTO)Co-founder & former CTO of ZENEDGE, Co-founder of HostenPCI, and Founder & previous CTO of Truition. Previous CTO & Technology Advisor at CUJO AI, Vice President of Security Products OCI at Oracle, and was the President & CTO of Bidz.com. Current Board Member for OXYGEN.
Laurent Gil
(Co-Founder & CPO)Co-founder & former CPO of ZENEDGE. Previous CEO of Viewdle, CFO of WiPlug, and Director of IdeaCapital. Worked as a Group Architect at Oracle, and was an Advisor for both We Heart It and Cel-Fi.
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