Remote New 
Data and Analytics - Machine Learning
 Equiliem | |
 United States, Oregon | |
 Nov 20, 2024 | |
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In new product design roles: develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments. Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms. In product/systems improvement projects: uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. In both theoretical development environments and specific product design, implementation and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience. Can work with large scale computing frameworks, data analysis systems and modeling environments.
Typically requires a Bachelors Degree and minimum of 5 years directly relevant work experience Note: One of the following alternatives may be accepted: PhD or Law + 3 yrs; Masters + 4 yrs; Associates degree + 6 yrs; High School + 7 yrs. Comments for Suppliers: MLOps, Model Productionization, Model serving & deployment, Python, Databricks, AWS. This is NOT a Data Scientist role. Notes - Fully remote, working PST hours - Team: AI Product Innovation and Activity, 13 team members, data engineers, software engineers, ML engineers Education/YOE - 5+ YEO in Machine Learning - Candidate needs to have an engineering background, not a data scientist. Tools - Spark, Python, ML Algorithms/MLOps. - SQL, Airflow, Sagemaker, AWS, Github, version control Skills - This role will help productionize, maintain existing models and work along with the data science team. - Hands on experience and production level Nice to Haves - Exposure to GenAI tools and capabilities will be a plus. | |