Machine Learning Engineer

6+ years of professional experience with a Bachelors degree.Experience in data engineering, data product development, and software product launches.Proficiency in at least three of the following: Java, Python, Spark, Scala, SQL.3+ years of cloud data/software engineering experience building scalable batch and streaming data pipelines.Experience with cloud data warehouses such as Google BigQuery, Amazon Redshift, or Azure Synapse Analytics.Experience with workflow orchestration tools such as Airf

Job Title Senior Machine Learning Engineer MLOps & Cloud Data Engineering Overview / Summary We are seeking a Senior Machine Learning Engineer with expertise in MLOps, cloud data engineering, and scalable machine learning pipelines to join our team working onsite in Dearborn, MI. The role focuses on building and optimizing ML data pipelines, supporting AI/ML initiatives, enhancing DevOps capabilities, and delivering reliable data solutions in a cloud environment. This position requires strong

Job#: 3034035 Job Description: Role: ML Ops Engineer Duration: Long-Term Contract Location: Hybrid - 4 days/week onsite Description: This role focuses on building and scaling enterprise-grade ML Ops and data engineering solutions to support connected vehicle data and agentic AI initiatives. The individual will design, implement, and optimize data pipelines and machine learning operations in a cloud-native environment, ensuring performance, reliability, and governance at scale. Key Responsib

Remote, Marketing Analytics, Pricing, Promotions This Jobot Job is hosted by: Dylan Currier Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $120,000 - $140,000 per year A bit about us: We are a globally recognized leader in the entertainment industry, delivering world-class content and experiences to millions of consumers across the globe. Our mission is to create meaningful connections between audiences and the stories, music, and moments