| Machine Learning Engineer Need 10+ Years Profile at Remote, Remote, USA |
| Email: [email protected] |
| From: Patricia, W3Global [email protected] Reply to: [email protected] The vision of the Machine Learning (ML) Engineering team is to drive and enable ML usage across several domains in heterogeneous language environments and at all stages of a project's life cycle, including ad-hoc exploration, preparing training data, model development, and robust production deployment. The team is invested in continual innovation on the ML infrastructure itself to carefully orchestrate a continuous cycle of learning, inference, and observation while also maintaining high system availability and reliability. We seek to find new ways to scale with our guest and partner base as well as the ever-growing need for ML and experiments. In this role you will focus on partnering with software services and engineering groups to advocate and support ML applications in those domains. You will conduct data exploration, analysis to motivate and drive ML usage across the engineering and services teams. You will work on cross-functional projects and push the envelope on data and ML focused solutions. Responsibilities: Develop and deploy end to end ML solutions to drive data driven decisions Conduct data exploration, analysis and provide ML consultancy Drive and maintain a culture of quality, innovation and experimentation Work in an Agile environment that focuses on collaboration and teamwork Basic Qualifications: 2+ years of relevant ML experience, with 1+ years of software experience Expertise with SQL, ML pipelines, algorithms, statistical methods, and analytics to solve real world engineering problems Comfortable operating at all levels of the predictive stack and user behavior modeling including data collection, feature engineering, training, inference and analysis. Strong mathematical skills with knowledge of statistical methods Preferred Qualifications: Familiarity with Python development ecosystem and technologies like Databricks, S3, Spark Exposure to offline and online ML workflows Experience with graph-based data workflows such as Apache Airflow, Meson Excellent communication and people engagement skills Keywords: machine learning sthree active directory |
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| Wed Jul 26 21:09:00 UTC 2023 |