[Remote] Machine Learning Engineer - Only on W2 Tax Terms

Note: The job is a remote job and is open to candidates in USA. Dice is a recruiting company seeking a Machine Learning Engineer for a long-term remote contract position. The role involves developing and delivering end-to-end machine learning solutions, leading MLOps framework design, and ensuring compliance and scalability of ML platforms.ResponsibilitiesDevelop and deliver endtoend machine learning solutions, including defining technical requirements, architecting scalable systems, and implementing monitoring, logging, and maintenance workflowsLead the design and implementation of MLOps frameworks, including pipeline development, CI/CD integration, drift detection, retraining workflows, and rollback strategiesDevelop and customize API integrations to enable seamless connectivity between cloudbased systems and ML servicesParticipate in architectural discussions to ensure ML platforms meet compliance, performance, and scalability standardsSkillsMachine Learning EngineerMLOpsPythonDatabricks + SparkCloud PlatformsHIPAASOC 2PHI/PII3+ years of endtoend ML development in production (data prep, feature engineering, modeling, calibration, deployment, monitoring, maintenance)3+ years of MLOps experience building production pipelines (CI/CD, model registry, feature store), implementing monitoring & drift detection, and automating retraining3+ years of Python for production ML (testing, packaging, type hints, linting) and SQL for analytical and production workloads; Scala a plus2+ years working with distributed compute and cloud ML environments (e.g., Spark/Databricks on Azure/AWS/Google Cloud Platform) and modern data ecosystems (data lakes, DBMS)Strong debugging and optimization skills across data and ML workflowsTrack record of ownership and problem solving driving measurable impact and quality under ambiguity and evolving requirements1+ years of Databricks experience + some experience in infrastructure/networking1+ years implementing LLMbased solutions in production (prompt/response design, evaluation frameworks, guardrails/safety, latency/cost optimization)1+ years designing compliant ML platforms (e.g., HIPAA, SOC 2) and working with PHI/PII governance, access controls, and auditabilityCompany OverviewDice is the go-to career marketplace for tech professionals. It was founded in 2010, and is headquartered in Drachten, Friesland, NLD, with a workforce of 201-500 employees. Its website is https://www.or-quest.nl/.