Teams at Satori Analytics

Build and operate production-grade machine learning infrastructure, including automated training and deployment pipelines, model serving, monitoring, observability, retraining, and governance. Deploy ML and LLM systems across cloud, on-premises, and hybrid environments, while collaborating with data scientists and software engineers. Support CI/CD, model registries, security, reliability, GPU utilization, and RAG infrastructure.

Design and develop scalable AI workflows and models in Python, focusing on LLMs and machine learning. Collaborate with data scientists, developers, and domain experts to translate business needs into practical solutions. Research emerging AI techniques, build and deploy models, document reproducible work, and communicate results clearly. The role requires experience with ML frameworks, LLM applications, vector databases, cloud platforms, APIs, and software development practices.

Design, build, and operate scalable data platforms and ETL pipelines supporting analytics, reporting, customer insights, campaign measurement, and AI/ML initiatives. Develop data solutions using Python, SQL, Spark, cloud platforms, and modern data tools. Ensure data quality, governance, security, lineage, and observability while troubleshooting production pipelines and collaborating with technical and business stakeholders.