MACHINE LEARNING PLATFORM SOFTWARE ENGINEER
Machine Learning Platform Software EngineerJob DescriptionCollaborate with data engineers, data scientists, and product teams to guide the translation of R&D prototypes into stable, testable, and maintainable production servicesDevelop and deploy tools and services for our team to accelerate the production lifecycle and assessment of production readinessHelp lead team members in executing continuous integration and continuous delivery (CI/CD) activities to release code into a Production environmentAct as a consultant within the Science Organization on software engineering principles, code quality, and performance optimization techniquesApply software engineering rigor and best practices to machine learning, including CI/CD and automationBuild model performance monitoring capabilities and data monitoring toolsRequirementsMS Computer Science, Engineering, Technology, Mathematics, Statistics, or related field with 3+ years of industry experience or BS + 5 years' experienceHands on coding experience with Python building end-to-end systems as an MLOps Engineer, Machine Learning Engineer, Software Engineer, or equivalentExperience in ML model development, orchestration, deployment, monitoring, support and creating and maintaining deployment pipelines with CI/CD toolsExperience with cloud computing platforms like AWS, GCP, or other cloud providers developing with containers (e.g., Docker, Kubernetes) in cloud computing environmentsExperience with database, such as SparkSQL, MongoDB, SQL, and SQLitePreferredExposure to deep learning approaches and modeling frameworks (Py Torch, TensorFlow, Keras, etc.)Experience building ML web service, such as Flask, JavaScript, HTML, and Django. Familiarity with Kubeflow or similar platforms like MLflow or SageMakerExperience building and evaluating machine learning modelsStrong understanding of software testing, benchmarking, and continuous integrationExperience mentoring and teaching software development best practices to data scientistsAbility to translate complex technical concepts to collaborations, decision makers, and non-technical audiencesThe ideal candidate will have a passion for generating new ideas, be a proactive and quick learner, and be able to demonstrate creativity and innovation.LocationSan Diego, CaliforniaContactcareer@kneron.us