> Markdown version of [/jobs/ext/1349312-python-ai-ml](https://www.wearedevelopers.com/jobs/ext/1349312-python-ai-ml). 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). --- # Python AI/ML - **Company:** Master Compliance - **Location:** Texas City, TX, United States - **Salary:** $65,021.0 - $78,291.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Bash Shell, Big Data, Cloud Computing, Cluster Analysis, Databases, Extract Transform Load (ETL), Data Mining, Data Visualization, Database Design, R (Programming Language), Apache Hadoop, Python (Programming Language), Linked Data, Machine Learning, Language Modeling, Natural Language Processing, Pattern Recognition, Performance Tuning, Tensorflow, SAS (Software), SQL Databases, Talend, Data Storage Technologies, Apache Spark, Deep Learning, Spark Mllib, Scikit Learn, Machine Learning Operations, Text Analysis, Looker Analytics, Data Pipelines, Unsupervised Learning - **Published:** July 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a660ef9c07ee9e8c ## About the Role * Proven experience with Python programming for AI/ML applications in a professional setting. * Strong knowledge of machine learning frameworks such as TensorFlow, Spark MLlib, or similar tools. * Hands-on experience with big data technologies including Hadoop, Spark, and related ecosystem components. * Familiarity with cloud platforms like AWS for model deployment and scalable computing resources. * Expertise in natural language processing (NLP), data mining techniques, and model training methodologies. * Proficiency in SQL for database design and querying; experience with R or SAS is a plus. * Knowledge of Java or C is advantageous for integrating AI solutions within larger systems. * Ability to work with complex datasets involving linked data concepts and perform analytics using Looker or similar visualization tools. ## Description We are seeking a dynamic and innovative Python AI/ML Engineer to join our cutting-edge data science team. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop, train, and deploy advanced models that drive strategic insights and operational efficiencies. Your work will involve harnessing big data technologies, natural language processing, and deep learning frameworks to solve complex problems across diverse domains. This position offers an exciting opportunity to contribute to transformative projects that shape the future of intelligent systems., * Design, develop, and optimize machine learning models using Python and popular frameworks such as TensorFlow and other ML libraries. * Implement unsupervised learning techniques for data clustering, anomaly detection, and pattern recognition to uncover hidden insights. * Collaborate with cross-functional teams to gather requirements, define project scope, and translate business needs into technical solutions. * Manage data pipelines utilizing ETL tools like Talend and Bash scripts to extract, transform, and load large datasets from various sources including Hadoop, Spark, and SQL databases. * Conduct model training, validation, tuning, and deployment processes ensuring high accuracy and scalability in cloud environments like AWS. * Develop natural language processing applications for text analysis, sentiment detection, and language modeling using AI frameworks. * Design scalable database architectures and optimize data storage solutions for efficient querying and analytics with SQL, R, SAS, or linked data approaches. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [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) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [6 Reasons to Use Java For Your Next AI Project](https://www.wearedevelopers.com/magazine/111-6-reasons-to-use-java-for-your-next-ai-project) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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) - [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)