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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** JPMorgan Chase & Co. - **Location:** Rocklin, CA, United States - **Salary:** $200,000.0 - **Contract:** Internship / Graduate position - **Skills:** C (Programming Language), Java (Programming Language), Artificial Intelligence, Amazon Web Services, Bash Shell, Big Data, Cloud Computing, Data Integration, Extract Transform Load (ETL), Data Mining, Database Design, R (Programming Language), Apache Hadoop, Hadoop Distributed File System, MapReduce, Python (Programming Language), Unix Shell, Machine Learning, Natural Language Processing, Cloud Services, Tensorflow, Standard Sql, SAS (Software), SQL Databases, Talend, Data Storage Management, Apache Spark, Model Validation, Spark Mllib, Statistics Packages, Vba Programming Language, Data Analytics, Looker Analytics - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0e235cc7e99c3a2a ## About the Role * Proven experience in machine learning/AI-based analysis with a strong understanding of AI implementation in real-world scenarios. * Hands-on expertise with machine learning frameworks such as TensorFlow, Spark MLlib, or similar tools. * Familiarity with big data systems including Hadoop ecosystem components (HDFS, MapReduce) and Spark implementation for large-scale data processing. * Proficiency in programming languages including Python, Java, C, VBA, Bash (Unix shell), with additional knowledge of SQL for database management. * Experience with cloud-based machine learning services on platforms like AWS or similar providers is highly desirable. * Knowledge of natural language processing (NLP), predictive modeling analysis, statistical analysis tools, and model evaluation techniques. * Understanding of data analytics workflows involving data mining, data integration (Talend), Looker for visualization, and data scalability considerations. ## Description Join our innovative team as an AI Engineer and be at the forefront of developing cutting-edge artificial intelligence solutions that transform data into actionable insights. In this role, you will design, build, and deploy advanced AI models and machine learning frameworks to solve complex business challenges. Your expertise will drive the implementation of scalable AI systems, leveraging big data technologies and cloud services to deliver impactful results. We are seeking passionate professionals eager to push the boundaries of AI and contribute to pioneering research and development initiatives., * Develop, train, and evaluate machine learning models utilizing frameworks such as TensorFlow, ensuring high accuracy and efficiency for diverse applications. * Design and implement scalable big data systems using tools like Hadoop, Spark, and ETL processes to manage large datasets effectively. * Apply statistical modeling and analysis techniques using tools such as R, SAS, and statistical analysis software to extract meaningful insights from complex data. * Integrate AI models into production environments through model deployment strategies, ensuring robustness and scalability across cloud platforms like AWS. * Collaborate with cross-functional teams to develop natural language processing (NLP) applications and generative AI solutions that enhance user engagement. * Conduct model training sessions focusing on predictive modeling analysis, model evaluation, and continuous improvement cycles. * Utilize SQL databases, data mining techniques, and database design principles to optimize data storage and retrieval for analytics purposes. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Serverless: Past, Present and Future](https://www.wearedevelopers.com/videos/34-serverless-past-present-and-future) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [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 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) - [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) - [Got AI ideas but no money? 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