#623 - AI/ML Engineer

OnshoreRemoteJust in timemid

Machine Learning EngineerData

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Overview

BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified,

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Machine Learning EngineerData

BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches.

With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth.

We don't just strategize — we execute.

Design, develop, and deploy machine learning models on the Databricks platform.
Build and operationalize end-to-end ML pipelines using Databricks, including feature engineering, model training, evaluation, and production deployment.
Leverage Databricks MLflow for experiment tracking, model registry, and end-to-end ML lifecycle management.
Experience with Databricks AI/BI Genie for conversational analytics, self-service insights, and business intelligence use cases.
Hands-on experience with Databricks Agent Bricks for building, orchestrating, and operationalizing AI agents.
Build agentic AI solutions on Databricks to support decision-making use cases, including rule-based alerts, anomaly detection, and automated insights delivery for business managers.
Strong understanding and implementation experience with Generative AI solutions on Databricks, including RAG (Retrieval-Augmented Generation) and LLM-based applications.
Collaborate with data engineering teams to design and implement scalable, high-performance data architectures on Databricks Lakehouse Platform.
Work with large-scale structured and unstructured datasets using Databricks Delta Lake and Apache Spark.
A good understanding of retail and CPG data domains is preferable.

We are looking for someone who is experienced in building lasting relationships and is passionate about making meaningful contributions to our team. Don't be mistaken, this is a challenging career path but also highly rewarding. Are you up for the challenge? If so, stop reading and start applying.