Company Name:-
Microsoft

Job Location:-
Bengaluru, Karnataka

Job Summary:-
At the core of the AI revolution lies data: Machine learning is used to create software artifacts from data.

This data is valuable and requires careful management.

Azure Data is the world leader in data management and processing with products such as SQL Server, Azure HDInsight, and Azure Synapse.

We are expanding our Azure Synapse team to bring together the best in big data management and machine learning.

We work with and contribute to state-of-the-art open-source packages, including Apache Spark, Koalas, Pandas, Dask, sklearn, MLFlow, TensorFlow, and PyTorch.

We combine those with our own tech to build secure, reliable, scalable, and high-performance machine learning platforms.

With our platforms, we strive to enable our customers to follow the principles of responsible AI: Fairness, Inclusiveness, Reliability & Safety, Privacy & Security, Transparency, Accountability.

To support these ambitions, we are growing our distributed team across 4 locations: Washington State, Serbia, China, and India.

We also work closely with teams across Microsoft, including Microsoft Research, Azure ML, and our own Gray Systems Lab.

We strive for an open, collaborative environment where equal participation from every location is possible.

To do so, we apply best practices from open-source development to our own work style.

Responsibilities
As a Manager, you will help us realize the vision above in many ways:
Technical, organizational and cultural leadership for the team.

Build the team by hiring individual contributors, ensuring a healthy mix of talent across seniority, styles and backgrounds.

As a member of the Synapse ML leadership team, work in alignment with other sites and leaders to define joint technical strategy and execution plans.

Product and live site quality, including processes and practices that ensure we deliver a product the team is proud of.

Deliver high performance machine learning platform for cloud offerings.

Design and develop machine learning experiences on distributed computing platform, such as Apache Spark and the Apache Hadoop stack.

Work with various open-source technologies and make contributions to these technologies.

Solve hard technical challenges in machine learning and distributed computing.

Qual

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