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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead I - Data Science-Gen AI - **Company:** UST Inc - **Location:** Aliso Viejo, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Artificial Neural Networks, Microsoft Azure, Software Documentation, Computer Programming, Continuous Integration, DevOps, Python (Programming Language), Machine Learning, Cloud Services, Standard Sql, SQL Databases, Management of Software Versions, Data Processing, Feature Engineering, Large Language Models, Prompt Engineering, Deep Learning, Build Management, Pyspark, Scikit Learn, Software Coding - **Published:** July 16, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p51pqacgmb ## About the Role Professional experience of 5-7 years in business analysis, requirement gathering, solution workflow design for AI/ML/Analytics project Experience In Programming Skills In Python And SQL Strong understanding of ML libraries and applications e.g., Time series analysis, Neural Net, SVMs, boosting methods and implementation using Python Experience in Deep learning techniques Excellent Communication skills to effectively collaborate with business SMEs, UX team Intermediate knowledge with Dev Ops practices, including CICD, Automation, Build Management, and Versioning Understanding of Cloud services, including Microsoft Azure, GCP or Amazon Web Service Experience in LLM/Gen AI - Prompt Engineering, RAG and parameter hypertuning Experience in Pyspark will be an added advantage Responsibilities Excellent problem solving, Critical and Analytical thinking skills and hands on coding skills Proficient in Data fetch, data merge, data wrangling, exploratory data analysis and feature engineering Python, SQL Skills with working knowledge of machine learning algorithms Drive client engagement fully and align the development team towards a technical roadmap Implements analytical requirements by defining and analysing system problems; designing and testing standards and solutions Develops solution by preparing and evaluating alternative workflow solutions Determines operational objectives by studying business functions; gathering information; evaluating output requirements and formats Designs new analytical solutions by analysing requirements; constructing workflow charts and diagrams; studying system capabilities; writing specifications Improves systems by studying current practices; designing modifications Recommends controls by identifying problems; writing improved procedures Defines project requirements by identifying project milestones, phases, and elements; forming project team; establishing project budget, data science,python,pyspark,sql ## Description Monitors project progress by tracking activity; resolving problems; publishing progress reports; recommending actions Maintains system protocols by writing and updating procedures Provides references for users by writing and maintaining user documentation; providing help desk support; training users Maintains user confidence and protects operations by keeping information confidential Prepares technical reports by collecting, analysing, and summarizing information and trends Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Got AI ideas but no money? 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