Summary:**Responsibilities**:Contributes to the development and nsion of REST-like backend applicatior use within a distributed, microservice platform design.Maintains technical documentation.Writes unit tesr custom libraries.Implements codebase refactoring according to specified requirements and in collaboration with team.Occasionally does minor management of platform resource requirements by utilizing infrastructure as code (IAC) tools, including AWS CloudFormation, appropriate AWS SDK or CLI APIs, and containerization tools (Docker, Kubernetes).**Education**:Bachelor's degree in STeld with demonstrable Computer Science proficiencies relevant to duties and responsibilities.Knowledge and Skills:Proficiency with Python in a production environment.Good background in object oriented development techniques and patterns.Competency using and designing REST APIs and SDKs.Importante empresa using or implementing distributed systems in a cloud environment (AWS preferred).Strongly preferred:Knowledge and demonstrable Importante empresa of applied principles of Machine Learning including at least one of tllowiamework libraries:Scikit-Learn, XGBoost, Tensorflow, Spark ML, or similar.Basic understanding of relational data modeling.High standards of code efficiency and cleanliness.Confidence in troubleshooting issues in the core data science stack.Must be available on East Coast hours.Importante empresa:2 years of SQL Importante empresa.2 years of Python Importante empresa.Importante empresa with AWS including EKS and CloudFormation (strongly preferred).2 years in Data Science/Machine Learning cont(strongly preferred).Decision Making/Interaction:Lead DataScience Engineer or other ML/MLOps technical engineering leadership roleThis position will receive technical direction (assignment of worom the Lead Data Science Engineer or someone in a role with comparable duties.Data Science ManagerThis position may receive work directives or requiremenom the Data Science manager.Data Science EngineerThis position may collaborate with the Data Science Engineer in order to clarify requirements and obtaedback on work that has been presentr integration.Physical Requirements:The physical demands described here are representative of those that must be met by an employee to successfully perform the essentinctions of this job.Reasonable accommodations may be made to enable individuals with disabilities to perform the essentinctions.Ability to talk and hear.Ability to see and read.Reaching and manual drir operating computer keyboard.The employee is required to nd hands and arms in various directions in order to handles and associated paperwork; use hands/fingers in repetitive motion in keyboard usage; use hands/fingers to efficiently utilize a writing instrument.Stooping kneeling, crouching, crawling, standing, sitting, walking, pushing, pulling, is relative to offiles, etc..Expressing or exchanging ideas by means of the spoken word is required, as well as the ability to convey detailed/important instructions in an accurate manner.Ability equently talk or hear on a telephone and receive detailed information through oral communication is required.Exertion up to pounds rce is occasionally required and/or a negligible amount requently or constantly to lift, carry, push, pull, or otherwise move objects.Visual activity requirements are those of Clerical Administrative. This is a minimum standar use with those whose work deals largely with preparing and analyzing data agures, accounting, computer terminal, nsive reading, operation of machines, and using measurement devices.
