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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science ML/Gen AI Engineer (Mid-Level) - **Company:** CORNERSTONE GLOBAL PARTNERS COLUMBUS, INC. - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** A/B Testing, Geographic Information Systems, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Computer Programming, Continuous Integration, Data Security, Github, Python (Programming Language), Machine Learning, Natural Language Processing, PostGIS, Role-Based Access Control, Power BI, SQL Databases, Data Streaming, Google Cloud, Feature Engineering, Large Language Models, Prompt Engineering, Apache Spark, Deep Learning, Multi-Cloud, Generative AI, Change Data Capture, Indexer, Data Lakes, Pyspark, Real Time Data, Machine Learning Operations, Databricks - **Published:** September 21, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/plrfew9sts ## About the Role * 3-6 years of experience in Data Science, Machine Learning, or ML Engineering, with a track record of taking models from development through production. * Strong basic understanding of statistics, machine learning, and deep learning fundamentals. * Practical, hands-on GenAI/LLM experience: prompt engineering, RAG, vector databases/vector stores, LLM evaluation, agentic workflows, LangChain, and MCPs. * Strong programming and data skills in Python, SQL, and Spark/PySpark, with hands-on Databricks experience (Delta Lake, Unity Catalog, DBSQL, Jobs and Workflows, medallion architecture). * Bachelor's degree is sufficient - a master's in statistics is a plus, as is a well-regarded certification (e.g. DeepLearning.AI, Coursera courses by instructors such as Andrew Ng). * Strong communication and collaboration skills. Nice-to-Have * Experience with Microsoft Azure, AWS, or Google Cloud Platform (GCP). * Experience with geospatial data and analytics (PostGIS, spatial joins, spatial indexing, GIS-based feature engineering). * Experience with streaming and real-time data, including Structured Streaming and Change Data Capture (CDC). * Hands-on experience with MLflow and Unity Catalog Model Serving. * Experience working in utilities, energy, infrastructure, or public works industries. ## Description Our client is building a modern, multi-cloud, enterprise-grade data estate - a unified Databricks-based platform, larger in scope than a standard lakehouse, that centralizes data across the company's products and cloud environments (AWS, Azure, and GCP) and feeds multiple product lines, primarily the damage prevention platform. This role will primarily support that platform by integrating data from multiple sources, with occasional work touching other product lines. This is a skill-first role: strong fundamentals in statistics, machine learning, and deep learning, combined with genuinely practical GenAI/agentic-systems experience (LangChain, agent workflows, MCPs), matter more than direct industry-domain background., * Contribute to medallion architecture pipelines (Bronze * Silver * Gold) using Databricks, and support column-level lineage and governance initiatives (targeting at least 95% lineage coverage). * Explore, prototype, evaluate, and productionize machine learning and GenAI solutions across use cases including forecasting, anomaly detection, NLP, Retrieval-Augmented Generation (RAG), LLM-powered assistants/copilots, and predictive analytics. * Package and manage models using Unity Catalog model management/registries, and design batch and streaming inference architectures where appropriate. * Partner with Product and business stakeholders to define success metrics, KPIs, and A/B testing strategies, and move successful experiments from prototype to production with clear SLAs, monitoring, and documentation. * Build production workflows, jobs, and notebooks as infrastructure-as-code using Databricks Asset Bundles (DABs), with CI/CD via GitHub Actions. * Contribute business metrics, definitions, and semantic models to Unity Catalog, supporting consumption through Power BI and Databricks AI/BI. * Implement secure data and ML architectures using RBAC/ABAC within Unity Catalog, and support compliance requirements (SOC 2, ISO 27001, GDPR, PIPEDA). ## Related Videos - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## 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? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [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)