Shows
DataTales.AI#17 Maria Vechtomova: How to Correctly Navigate the AI SpaceSummary
In this conversation, Serop Baghdadlian and Maria discuss the evolution of MLOps and AI technologies, and the importance of fundamentals in AI engineering. They explore the complexities of LLM Ops compared to traditional MLOps, the shift in evaluation standards for AI models, and the necessity of a data scientist's mindset when approaching AI projects. In this conversation, Serop Baghdadlian and Maria discuss the complexities and unpredictability of machine learning models, the evolution of MLOps, and the importance of focusing on fundamentals. They explore the challenges of reproducibility in machine learning environments, the journey of creating effective...2025-01-1832 min
DevOps and Docker Talk: Cloud Native Interviews and ToolingMLOps for DevOps PeopleBret and Nirmal are joined by Maria Vechtomova, a MLOps Tech Lead and co-founder of Marvelous MLOps, to discuss the obvious and not-so obvious differences between a MLOps Engineer and traditional DevOps jobs.Maria is here to discuss how DevOps engineers can adopt and operate machine learning workloads, also known as MLOps. With her expertise, we'll explore the challenges and best practices for implementing ML in a DevOps environment, including some hot takes on using Kubernetes.There's also a video version to watch on YouTube. ★Topics★Marvelous MLOps on LinkedInMarvelous MLOps Subs...2024-09-0648 min
HockeyStick ShowMastering MLOps - Maria Vechtomova - HockeyStick #20Mastering MLOps with Maria: Insights and Future TrendsJoin us for an in-depth conversation with Maria, a leading expert in MLOps, as she shares her journey and insights into the world of machine learning operations. Maria discusses the common misconceptions about MLOps, the integration of DevOps practices, and the tools and frameworks that have shaped her career. Discover her unique approach to MLOps, the challenges faced by data science teams, and the evolution of the field. Maria also introduces her new course on MLOps with Databricks, aimed at helping practitioners deepen their skills. Don't miss this episode...2024-08-2619 min
AI StoriesMLOps Engineering & Coding Best Practices with Maria Vechtomova #48Our guest today is Maria Vecthomova, ML Engineering Manager at Ahold Delhaize and Co-Founder of Marvelous MLOps.In our conversation, we first talk about code best practices for Data Scientists. We then dive into MLOps, discuss the main components required to deploy a model in production and get an overview of one of Maria's project where she built and deployed a fraud detection algorithm. We finally talk about content creation, career advice and the differences between an ML and an MLOps engineer. If you enjoyed the episode, please leave a 5 star review and subscribe to...2024-05-3059 min
Data BytesMachine Learning OpsDive into the world of Machine Learning Operations (MLOps) with the remarkably insightful Maria Vechtomova. She is an MLOps Tech Lead at Ahold Delhaize and Co-Founder of Marvelous MLOps.
TimeStamps:
00:00:00 - Introduction to the episode with Maria Vechtomova.
00:00:32 - Sadie introduces Maria Vechtomova and her career.
00:01:06 - Maria expresses her appreciation for the DataBytes podcast.
00:02:06 - Conversation about past experiences with piano lessons.
00:03:12 - Maria's transition from economics to data and MLOps.
00:04:31 - The impact of having inspiring colleagues.
00:06:07 - Discussion on the value of freedom and management styles in Maria's career.
00:07:14 - Maria talks about the...2024-03-1431 min
Featuring - the podcastE9 - Maria VechtomovaSee blogpost and transcription.
See Youtube version.2024-03-1110 min
DataTalks.ClubPragmatic and Standardized MLOps - Maria VechtomovaWe talked about:
Maria's background
Marvelous MLOps
Maria's definition of MLOps
Alternate team setups without a central MLOps team
Pragmatic vs non-pragmatic MLOps
Must-have ML tools (categories)
Maturity assessment
What to start with in MLOps
Standardized MLOps
Convincing DevOps to implement
Understanding what the tools are used for instead of knowing all the tools
Maria's next project plans
Is LLM Ops a thing?
What Ahold Delhaize does
Resource recommendations to learn more about MLOps
The importance of data engineering knowledge for ML engineers
Links:
LinkedIn: https://www.linkedin.com/company/marvelous-mlops/
Website: https://marvelousmlops.substack.com/
2023-09-0853 min
MLOps.communityWhy is MLOps Hard in an Enterprise? // Maria Vechtomova & Basak Eskili // MLOps Podcast #159
MLOps Coffee Sessions #159 with Maria Vechtomova, Lead ML engineer, and Basak Eskili Machine Learning Engineer, at Ahold Delhaize, Why is MLOps Hard in an Enterprise? co-hosted by Abi Aryan.
// Abstract
MLOps is particularly challenging to implement in enterprise organizations due to the complexity of the data ecosystem, the need for collaboration across multiple teams, and the lack of standardization in ML tooling and infrastructure. In addition to these challenges, at Ahold Delhaize, there is a requirement for the reusability of models as our brands seek to have similar data science products, such as personalized offers, demand forecasts, and cross-sell.
...2023-05-3055 min