Cloud Computing β’ DevOps β’ Site Reliability β’ FinDevOps β’ AWS
11 - 50
π° Series A on 2021-03
September 17
Cloud Computing β’ DevOps β’ Site Reliability β’ FinDevOps β’ AWS
11 - 50
π° Series A on 2021-03
β’ Analyze complex cloud environments to uncover hidden optimization opportunities β’ Lead research initiatives, experiment with new methodologies, and develop algorithms that can process vast amounts of data to reveal trends, anomalies, and optimization opportunities. β’ Design and implement proof-of-concept systems to validate new approaches in cloud optimization β’ Conduct deep exploratory data analysis to identify patterns, correlations, and trends in cloud usage that can inform strategic decisions for customers β’ Work closely with product managers and engineers to translate insights into product features β’ Stay updated on the latest developments in data science, machine learning, and cloud cost management, applying new techniques and approaches to enhance the quality and impact of insights. β’ Prepare detailed documentation of research findings, methodologies, and algorithms β’ Author technical papers and present findings at industry conferences β’ Contribute to the company's intellectual property portfolio through patents and publications
β’ 5+ years of experience in data analysis, machine learning, or a similar role, with a focus on generating actionable business insights. β’ 5+ years experience with cloud platforms (AWS, Azure, Google Cloud) and familiarity with cloud cost management challenges. β’ Strong programming skills in Python, R, or similar languages, with experience using data science libraries and tools (e.g., PyTorch, Tensorflow, etc.). β’ Expertise in cloud architecture, containerization (EKS, Kubernetes), and infrastructure-as-code (Terraform, CloudFormation) β’ Experience with distributed systems, microservices architectures, and serverless computing β’ Proven ability to work with large datasets and develop models that can handle complex data relationships β’ Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical audiences
Apply NowSeptember 7
51 - 200
Operations Research Engineer for data science in grocery personalization and supply chain.
August 27
11 - 50
Develop safe and responsible LLMs for Fortune 500 companies using cutting-edge AI research.
πΊπΈ United States β Remote
π° $15.1M Series A on 2023-08
β° Full Time
π‘ Mid-level
π Senior
π Research Engineer
August 26
11 - 50
Conduct research and develop solutions at the intersection of crypto and AI.
August 13
11 - 50
Collaborate to improve AI models and develop software for autonomous driving solutions.
July 31
11 - 50
Design cost-saving algorithms to enhance data warehouse performance and efficiency.