Python Lead Job in Applied Materials @ Uplers

Job Description

Applied Materials, Inc. is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future. Applied's AIx Products group is searching for an Python API lead to join our team! AIx (Actionable Insight Accelerator) is an ML/AI Data Analytics platform that enables development and deployment of new chip technologies. AIx allows engineers to innovate and optimize semiconductor processes in real-time, and control thousands of variables to improve semiconductor performance, power, area-cost and time to market (PPACt). Key Responsibilities Understand the key Software requirements and provide intuitive solutions. Gain exposure to data collection, transformation to software tool deployment and product adoption. Be a team player and interact with different stake holders as required Quickly learn new skills required to perform the job role effectively Deliver the assigned work items on schedule Effectively communicate any bottle necks on time Follow coding standards and guidelines set by the team Participate in technical discussions with software development team Requirements Bachelors or advanced degree in Engineering, Data Science, Software Engineering, or a related field Must be in good academic standing with a preferred CGPA of 8.5 or above on a 10.0 scale Strong Python programming skills for Product Development - FASTApi, Dash-Plotly, MongoDB Beanie etc Good code quality and maintenance- Bitbucket, JIRA, PyLint Experience with open-source toolkits: scikit-learn, pandas, NumPy Strong Analytical and Problem Solving skills Good debugging skills and ability to fix problems quickly Good in using IDEs like VS Code or Jet Brains WebStorm/PyCharm Desired Skills API development using Python Data caching and related technologies Understanding on Databases (SQL and NoSQL), like MongoDB Educational Qualifications BE/B.Tech or Equivalent Qualifications Education: Bachelor's Degree Skills: Certifications: Languages: Years of Experience: 4 - 7 Years Work Experience: Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Relocation Eligible: No ,

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Keyskills:   NumPy Data caching Python programming pandas NoSQL