Machine Learning Engineer

Location:Las Vegas/ Remote in US This role will work with the Data Science team and other stakeholders to plan and execute data-driven projects and processes. You will be designing end-to-end machine learning mechanisms and pipelines using scalable technology. You will be working in a fast-pace fail-fast environment. Responsibilities: • The Machine Learning Engineer position will develop web-based products and new APIs to utilize and implement machine learning models • Primary effort will be to incorporate data science models with OPTX product teams and build internal web-based consumption tool • Develop infrastructure and “pipelines” for handling data, applying generalization and abstraction layers to enhance efficiency and sustainability of data architecture • Design automated monitoring, redundancies, and robust architecture to minimize data and modeling interruptions • Working with distributed clusters / parallelized processing • Collaborate with product teams to align with product road maps and ensure API feeds are always working • Collaborates with stakeholders to design tests and validate/measure results. • Performs other job-related duties as requested. Requirements: • MS or PhD in quantitative field, preferred computer science • Demonstrated experience in developing data science solutions • Previous experience working in a cloud environment • Real time data (ie Spark, Kafka) experience preferred • Client and server-side scripting (ie HTML, Javascript, PHP, Python Flask) experience required • Relational Database (SQL) experience required • Must possess very strong interpersonal, communication and consensus building skills; willing to work on developing and managing key relationships across the organization • Must be able to work in a deadline-oriented environment, ensuring decisions and management communication is occurring in a timely fashion • Ability to uphold and demonstrate the highest level of integrity in all situations and recognize standards required by a regulated business Bonus Points For • 4+ years of experience with R / Python / bash • Previous experience creating machine learning applications, data-processing pipelines, monitoring results / iterating after launch. • Previous experience with supporting cloud-based ML pipeline/operationalization. • Previous experience in the gaming/casino industry • Relevant experience can range from working on a wide variety of optimization, and classification problems, e.g. segmentation, propensity modeling, text/sentiment classification, LTV prediction, collaborative filtering/recommendation, or anomaly detection