Provide technical design & architectural leadership for next generation Cloud Automation
Innovate & Research in the area of Data Science by crunching huge amount of Customer data
Code and implement new algorithms involving Machine Learning to solve complex problems.
Triage, Analyze and Fix customer issues with quick turnaround time.
Participate in architectural decisions, design and code reviews.
Maintain deep technical and business knowledge of Cloud Management industry directions and trends
Work collaboratively with cross-functional distributed teams Core Engineering, GSS, QA and Product Management in all phases - Requirements, Development, Testing, Launch/Release and continue refinement of VMware Cloud Management related technologies
Document best practices and architectural references in developing and deploying product solutions
Mentor Junior members technically in Architecture, Designing and robust Coding
Work in an Agile development environment while continuously evaluate and improve engineering processes
Should have technology independent mindset and juggle priorities on daily basis.
BTech/MTech/MS Degree or equivalent in Computer Science, Operations research, Statistics, Physics, or Mathematics is preferable
7–12 years of experience with significant depth around designing and building enterprise class products.
Min 4+ years of experience in Data Mining and Statistical Analytics
Able to understand various data structures and common methods in data transformation
Deep understanding of statistical modeling (Regression, Clustering, Decision trees), machine learning, algorithms, data mining concepts, and a track record of solving problems with these methods.
Experience with deep learning is a must, SVM, k-nearest neighbors, random forests, ensemble methods, Logistic Regression, Probability Theory, Bayesian/Markov networks etc.
Demonstrated programming skills in relevant languages, including R, Python, SQL etc.
Good communication and presentation skills
• Exposure to Cloud computing, SaaS, Telemetry and VMware technologies is a big plus
• Experience in analyzing and developing solutions for Consumer/Customer experience (CX)
• Experience in solving complex problems using Big Data systems like Hadoop, Spark, Hive
• Good understanding of SDLC, Agile methodologies, experience of working in product development companies