Senior AI / Data Engineer

Our client is seeking a Senior AI / Data Engineer to take ownership of building and scaling the data and ML infrastructure that powers their AI‑driven products. This is a hands‑on, high‑impact role for someone who understands that great AI starts with great data engineering. Remote some travel may be required. What You’ll Do:Engineering & AI EnablementOwn the development of trusted AI/ML predictions and forecasts, including feature pipelines, model input/output data flows, and robust data validation frameworksDesign and implement reliable, scalable, and secure data pipelines that support both analytical and product use casesProvide technical leadership and mentorship to data engineers and cross‑functional partners, fostering a culture of engineering excellenceEcosystem Ownership & StrategyOwn the architecture and evolution of the data platform to meet performance, scalability, and agility needsImplement data governance, quality, and observability best practices, proactively managing data health before issues impact the businessOptimize cloud data infrastructure for cost, performance, and maintainability, treating the platform as a product—not just a utilityCollaboration & Business TranslationPartner closely with product managers, engineers, and customer‑facing teams to translate business needs into effective engineering solutionsEnsure data and ML initiatives are aligned with delivering clear business value and an exceptional customer experienceWhat You’ll Bring:Experience:5+ years of experience in data engineering1–2+ years in a senior or lead capacityTechnical Expertise:Deep understanding of machine learning models and the ability to articulate trade‑offs (e.g., accuracy vs. interpretability, complexity vs. inference speed)Advanced Python skills for complex data structures, automation, and pipeline developmentStrong SQL expertiseML & MLOps:Experience with Scikit‑Learn and similar librariesHands‑on experience building and maintaining feature engineering pipelinesStrong proficiency with MLOps and orchestration tools such as Airflow, dbt, or DagsterModern Data Stack:Experience with platforms such as Snowflake, BigQuery, Redshift, or DatabricksStrong understanding of data modeling, performance optimization, and cloud computing (AWS, GCP, or Azure)EEO Policy: Allied Resources complies with all Equal Employment Opportunity (EEO) affirmative action laws and regulations. Allied Resources does not discriminate on the basis of age, race, religion, color, sex, national origin, marital status, genetic information, sexual orientation, gender identity and expression, disability, veteran status or other status protected by law