Data Engineer /mlops in SeeTree

Data Engineer /mlops віддалено Overview SeeTree isaleading company inthe Ag-tech industry, providing per tree intelligence platform togrowers totrack their trees’ health and productivity. Using rich sources ofinformation such asdrones, satellites, IOT sensors, weather information and more, wecan scan and analyze hundreds ofmillions oftrees and provide deep information oneach and every one ofthem! Our mission istoboost growers and industry ROI bydigitally transforming agronomy, operation and decision making. Responsibilities : Maintenance ofCloud-based Platform: Regularly monitor and maintain the operation ofour cloud-based annotation and training platform Bring 3-5 years ofexperience indata engineering, focusing onconstructing and optimizing data pipelines and datasets. Conduct exploratory and quantitative data analysis, handling both large and small datasets toderive insights. Focus onscaling data pipelines toaccommodate growing data demands and complexity, ensuring robustness and efficiency indata handling. Qualifications : Industry Experience: Atleast 3-5 years indata engineering roles, with apreference for experience inIoT orindustrial sectors. Analytical Research: Astrong track record inindependent research for technical problem-solving and domain-specific data understanding. Technical Proficiency: Advanced skills inPython programming, with Java familiarity being advantageous. Proficiency indata pipeline tools In-depth understanding of Python and Pytorch High proficiency in SQL Strong experience with GCP , particularly indeploying and managing machine learning workloads Skilled in managing and optimizing machine learning pipelines , ensuring they are efficient, scalable, and reliable Deployment ofvision algorithms in GCP Demonstrated ability todeliver inafast-paced environment Experience with Airflow, vertexAI, kubeflow Experience with big data solutions -Advantage Experience with Containers (Docker/Kubernetes) English - upper intermediate and higher.