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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Platform Engineer - **Company:** Tech-Star, Inc. - **Location:** Los Angeles, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Engineering, Data Infrastructure, Data Structures, Data Visualization, Machine Learning, Power BI, Cloud Services, Tensorflow, Azure Machine Learning, Software Engineering, Data Streaming, Tableau (Software), Google Cloud, System Availability, Large Language Models, Apache Spark, Reliability of Systems, Solid Principles, Kubernetes, Information Technology, Apache Kafka, Machine Learning Operations, Video Streaming - **Published:** August 21, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-data-platform-engineer-los-angeles-ca--ad81caef-dbf5-4952-b2e4-9ebac7a2f648 ## About the Role A Bachelors degree in Computer Science, Statistics, Mathematics, or a related discipline, with a preference for advanced degrees. - At least 5 years of experience in crafting and managing AI/ML platforms with proficiency in Kubernetes, MLFlow, Kubeflow, Ray, and Spark. - In-depth understanding of machine learning frameworks, libraries, data structures, data modeling, and software design principles. - Solid grasp of machine learning algorithms, methodologies, tools, and platforms. - Familiarity with cloud services (GCP, AWS, Azure), with experience in cloud-agnostic deployments being a significant plus. - Exceptional problem-solving capabilities and a collaborative team spirit. **Desirable Skills** - Prior experience in startup settings and familiarity with agile development practices. - Effective communication skills, with the knack for demystifying technical concepts for non-technical stakeholders. - Knowledge of data streaming technologies like Apache Kafka. - Proficiency in data visualization tools such as Tableau or Power BI. - Certifications in relevant data engineering technologies. **Role Impact** In this pivotal role, you will be instrumental in sculpting our data infrastructure to ensure data availability, reliability, and analysis-readiness. Your contributions will be crucial to our organization's data-centric strategic decisions and overarching success., Agile Programming Methodologies, Algorithms, Amazon Web Services (AWS), Apache Kafka, Artificial Intelligence (AI), Cloud Computing, Communication Skills, Computer Science, Data Modeling, Data Structures, Data Visualization Tools, Drug Discovery, GCP (Good Clinical Practices), Healthcare, Machine Learning, Mathematics, Medical Records, Microsoft Windows Azure, Patient Care, Performance Modeling, Power BI, Problem Solving Skills, Reliability Analysis, Sculpture, Software Design, Startup, Statistics, Streaming Technology, Tableau, Team Player, Time Management ## Description Our client is on a mission to transform healthcare using the power of artificial intelligence. We are dedicated to leveraging AI to make a significant impact on healthcare, aiming to enhance patient care by making every patient's journey a cornerstone for healthcare decisions. Our goal is to improve treatment outcomes and accelerate drug discovery by analyzing patient health records to provide accurate and timely care. If you are passionate about advancing healthcare through innovative technology, we invite you to join us in pioneering the future., We are on the lookout for a seasoned Senior Data Platform Engineer to enhance our vibrant team. The successful applicant will possess a profound expertise in architecting, developing, and managing AI/ML platforms, focusing on scalability and robustness., Architect, build, and sustain an advanced AI/ML platform to facilitate the development of LLM, Bert, and other cutting-edge models. - Construct and maintain efficient ML training and inference pipelines utilizing tools such as MLFlow, Kubeflow, Ray, and Spark. - Guarantee model performance, quality, and responsiveness. - Work in tandem with diverse teams to conceptualize, design, and deliver innovative features. - Proactively seek out, assess, and integrate new technologies to enhance development productivity. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)