> Markdown version of [/jobs/ext/1485132-senior-ai-ml-platform-engineer](https://www.wearedevelopers.com/jobs/ext/1485132-senior-ai-ml-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI/ML Platform Engineer - **Company:** LTM Inc - **Location:** Houston, TX, United States - **Experience:** Expert - **Salary:** $120,000.0 - $150,000.0 - **Contract:** Internship / Graduate position - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Governance, Distributed Computing Environment, Python (Programming Language), Azure Machine Learning, SQL Databases, Data Streaming, Enterprise Data Management, Pyspark, Web Api - **Published:** July 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b0ee4c8fd1fcd458 ## About the Role 7 to 10 years of experience as a Data Engineer with at least 1 to 2 years on Palantir Foundry Proficiency in SQL Python and distributed data processing eg PySpark Strong understanding of ETLELT pipelines data modeling and transformation best practices Experience with Ontology modeling and Operational Object development Familiarity with enterprise data integration APIs and cloud platforms AWSGCPAzure Ability to work in agile teams and adapt to a fastpaced environment Excellent problemsolving and communication skills Skills Mandatory Skills : Python Other details ## Description Develop transformations using SQL Python and PySpark within Code Workbooks or Pipeline Builder Create and maintain Ontology models to represent business entities and relationships Integrate various data sources structuredunstructured into Foundry using connectors and APIs Build and configure Operational Objects and workflows for business use cases Collaborate with stakeholders to understand data requirements and deliver effective solutions Implement data governance quality and lineage tracking within Foundry Optimize data flows for performance scalability and maintainability Support KT Knowledge Transfer documentation and user enablement activities ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Web APIs you might not know about](https://www.wearedevelopers.com/videos/281-web-apis-you-might-not-know-about) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)