Infrastructure-Data Analytics Workstation Engineer -Assistant Manager-Hyderabad

End User Technology Services (EUTS) Assistant Manager, Workstation Engineer

Deloitte Technology & Infrastructure (T&I) is the engine of the Deloitte network. Our professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our organization.

Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment, we operate not in "what is" but rather "what can be" to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived.

This Assistant Manager will lead and participate in the architecture and engineering efforts for end-user platform solutions for the Deloitte US firms. They will ensure the delivery of these solutions with minimal impact on end-users and further supporting our goal of technology eminence.

In this role, you will:

• Deliver an optimized productivity platform and exceptional digital experience.
• Be responsible for delivering a highly optimized, stable and productive workstation experience.
• Understand the business environment, customer needs and anticipate future technological demands.
• You will also manage vendor relationships to troubleshoot issues and provide support and service to end users.
• Protect the desktop environment by evaluating and determining how to react to security alerts, vulnerabilities, and industry risks.
• Leverage advanced workstation analytics, develop proactive solutions, and ensure comprehensive compliance using multiple enablement systems and tools.
• Enforce service levels and service offerings for end-user computing, including technology platforms, distribution, and deployment. You will approve and enforce processes and procedures for end user software technology platforms, distribution, and deployment.
• Provide Endpoint solutions to meet client/business requirements, coordinate testing, and production deployment of solutions.

Required Skills

Data Analytics

• Collaborate with Stakeholders / PMs/ Data Engineers to align project vision and improve data quality and accuracy.
• Apply systematic technical approaches to structure consistency, compatibility, and efficiency in data management.
• Develop algorithms, implement technical solutions, and contribute to the creation of user-friendly interfaces.
• Engage in research and development activities, including the development of new digital solutions.
• Support business decisions by working with leaders across the business.
• Strong expertise in Python programming and one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras).
• Knowledge of (with deep expertise in at-least three of) LLMs, Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP.
• Hands-on develop ML models using the above techniques across Customer, Partner, Field & Sales in varied domains.
• Ability to both use existing libraries (ML, Deep Learning, Re-inforcement Learning) as well as design algorithms ground-up.
• Able to prepare data pipelines and feature engineering pipelines to build robust models using SQL, PySpark, Azure Data Studio etc.
• Scientific thinking and ability to invent: Prior experience creating intellectual property through patents desirable.
• Proficient in Relational Databases (SQL) and Big Data Technologies (Hive, PySpark).
• Knowledge of working in cloud-computing environment like Azure or AWS or Google Cloud. Azure preferred.

Qualifications

• Bachelor’s/Master’s in Computer Science with 5 years of experience in a technical IT role with 3+ years of relevant experience

Basic understanding of below Technologies is desirable

• Knowledge of Power tools
• Data Science / Analytics using a multitude of data sources
• Nexthink
• Agile