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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence and Machine Learning - **Company:** StarTech Career LLC - **Location:** San Jose, CA, United States - **Experience:** Starter - **Salary:** $100,000.0 - $110,001.0 - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Bash Shell, Big Data, Cloud Computing, Computer Programming, Continuous Integration, Extract Transform Load (ETL), Data Mining, Data Systems, Data Visualization, Apache Hadoop, Apache Hive, Python (Programming Language), Linked Data, Machine Learning, Natural Language Processing, Open Source Technology, Pattern Recognition, Quantum Computing, Tensorflow, Azure Machine Learning, SAS (Software), SQL Databases, Talend, Speech Recognition, Chatbots, Pytorch, Apache Spark, Kaggle, Spark Mllib, Containerization, Scikit Learn, Kubernetes, Information Technology, Vba Programming Language, Data Management, Machine Learning Operations, Functional Programming, Text Analysis, Looker Analytics, Software Version Control, Data Pipelines, Docker, Unsupervised Learning - **Published:** May 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1580b156a1f4735a ## About the Role Do you have a valid AWS Certified Machine Learning - Specialty certification?, Do you have experience in SQL?, Do you have a Bachelor's degree?, * TensorFlow, R, or SAS.1-3 years of hands-on experience developing ML models using * Python (primary), along with exposure to Java, C, or VBA.Strong programming skills in * AWS (SageMaker, S3, EC2, Lambda, or similar services).Practical experience with cloud platforms such as * Hadoop, Apache Spark, and analytics/visualization tools like Looker.Working knowledge of big data tools: * SQL queries and designing database schemas Experience writing and optimizing * for AI use cases. * NLP techniques Understanding of * and their application in production systems. * data pipeline tools (Talend, Bash scripting) Experience with * and data workflow automation. * Computer Science, Data Science, Statistics, Bachelor's or Master's degree in * or a closely related field. PREFERRED QUALIFICATIONS * quantum computing concepts Exposure to * or linked/semantic data technologies. * MLOps practices - model versioning, monitoring, and CI/CD pipelines.Familiarity with * containerization tools (Docker, Kubernetes) Knowledge of * for deploying ML services. * open-source AI/ML projects or Kaggle competitions.Experience contributing to * cloud certification.AWS Certified Machine Learning, Google Professional ML, or similar TECHNOLOGIES & TOOLS You will work with some or all of the following: ML & AI TensorFlow PyTorch Scikit-learn Spark MLlib SAS R Cloud & Big Data AWS Hadoop Apache Spark Looker Hive Programming & Data Python Java SQL Bash Talend VBA ## Description We are looking for a driven and curious AI & Machine Learning Specialist to join our growing technology team in San Jose, CA. In this role, you will work on real-world AI solutions - from building and deploying machine learning models to processing large-scale data using modern cloud and big data platforms. If you are passionate about using technology to solve complex business challenges and are eager to grow your skills in a fast-paced, collaborative environment, we want to hear from you., * TensorFlow, Spark MLlib, Design, develop, and optimize machine learning models using frameworks such as * and SAS to tackle real-world business challenges. * data mining, pattern recognition, and anomaly detection Apply unsupervised learning techniques for * ETL data pipelines Build and maintain * using tools like Talend, Bash scripts, or SAS to ensure clean, reliable data for model training. * deploy AI/ML models to production Collaborate with cross-functional teams to * environments using AWS or other cloud platforms. * Natural Language Processing (NLP) Work on * tasks including text analysis, chatbot development, and voice recognition systems. * SQL database schemas and queries Design and optimize * for scalable AI applications using Hadoop, Spark, or similar big data environments. * quantum computing applications and linked data integration.Stay current with emerging AI trends including ## Related Videos - [Machine learning 101: Where to begin?](https://www.wearedevelopers.com/videos/1014-machine-learning-101-where-to-begin) - [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Search and aggregations made easy with OpenSearch and NodeJS](https://www.wearedevelopers.com/videos/490-search-and-aggregations-made-easy-with-opensearch-and-nodejs) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [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) - [Got AI ideas but no money? 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