MLOps Engineer

Title: MLOps Engineer Pay: $85-$95 /hr on W2 Location: REMOTE, based out of Phoenix metro area Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. Overview A Fortune 500 leader in environmental services, is standing up its first enterprise-scale MLOps platform on Snowflake, and they're looking for the engineer who'll build it. This is an opportunity to design, build, operate, and continuously mature the entire end-to-end ML production ecosystem from scratch. The platform sits on top of the enterprise medallion architecture (Bronze, Silver, Gold), where ML models consume curated, governed data products from each layer so quality, lineage, and scalability are baked in from day one. If you've been waiting for the chance to own an MLOps platform from MVP all the way to enterprise scale, set the standards, and define the operating model instead of inheriting someone else's, this is that seat. What You'll Do Architect and build a production-grade MLOps platform on Snowflake using Snowpark, Snowflake ML, Model Registry, and Feature Store capabilities Design and operationalize reusable ML pipelines for training, validation, deployment, inference, and monitoring Build MLOps workflows aligned to the Bronze, Silver, and Gold layers so model training and inference consistently consume trusted medallion data Establish model lifecycle management standards, including versioning, approval workflows, promotion gates, rollback strategy, and model lineage Partner with data scientists to productionize models quickly and safely, turning experiments into reliable, scalable services Implement model observability for performance, drift, bias, data quality, and service reliability, with actionable alerting and SLOs Automate retraining and refresh workflows using Snowflake Tasks, Dynamic Tables, and event-driven orchestration patterns Partner with data engineering to keep feature pipelines reliable, reusable, and synchronized as the medallion layers evolve Define and implement CI/CD for ML workflows (code, data, models, and configuration), including testing frameworks and release controls Drive MLOps governance across security, compliance, auditability, reproducibility, and responsible AI practices Lead platform maturation from MVP to enterprise scale, including documentation, developer enablement, and operational runbooks Qualifications 4+ years in ML Engineering, MLOps, or a related platform engineering role Strong Python and SQL, with proven experience building production ML pipelines Hands-on experience with Snowflake data and compute patterns; Snowpark and Snowflake-native ML tooling strongly preferred Demonstrated experience with model deployment, versioning, monitoring, and lifecycle governance in production Experience implementing CI/CD and testing strategies for ML systems Solid grasp of feature engineering pipelines, training-serving consistency, and data quality controls Experience with cloud infrastructure and services (AWS preferred) Strong collaboration skills and the ability to work cross-functionally with data science, data engineering, and business stakeholders Nice to Have Experience with Snowflake Model Registry, Snowflake Feature Store, and model observability inside Snowflake Experience designing ML systems on medallion or lakehouse-style data architectures Experience with dbt or a similar transformation framework Familiarity with streaming or near-real-time inference patterns Experience in high-volume operational domains like logistics, fleet, route optimization, or environmental services Prior experience building greenfield platforms and defining operating standards from the ground up

HireRising We're an IT staffing and consulting firm that connects high-caliber technology professionals with innovative organizations across the U.S. and nearshore markets, with new ventures into Finance & Accounting. We specialize in contract, contract-to-hire, direct hire, and nearshore solutions, helping clients build strong technical teams while supporting candidates in finding roles that align with their skills, goals, and lifestyle. Our Mission Our mission is to elevate people and organizations by building long-term, trust-based relationships. We take a people-first approach to recruiting, focusing on integrity, transparency, and clear communication at every stage of the hiring process. Candidate Experience We invest the time to understand your technical background, career goals, and what you value in a work environment, so we can present opportunities that truly fit. As a candidate, you can expect honest feedback, realistic expectations, and a recruiting partner who actively advocates for you with our clients. Let's Stay Connected If this role isn't a perfect match, we still encourage you to connect with us. New opportunities open frequently, and we're always interested in building relationships with talented IT professionals for both current and future roles.