Lead AI and Data Solutions Engineer II-GCP Architect

Summary

Position Summary

Artificial Intelligence & Engineering

AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.

Join our AI & Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients success achievements. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.

Level: Lead AI and Data Solutions Engineer II

As a Lead AI and Data Solutions Engineer II at Deloitte Consulting, you will oversee the technical delivery of enterprise-scale software solutions, lead cross-functional and global teams and mentor junior members. You will collaborate to understand functional requirements, support sales and proposal efforts, and drive end-to-end project delivery, including estimation and planning, to ensure successful outcomes.

Work you'll do:

Collaborate with the functional team and client to thoroughly understand business requirements. Oversee technical delivery by providing architectural and implementation recommendations. Lead documentation efforts, ensuring adherence to standards and best practices. Direct the design and development of solutions, ensuring timely delivery according to project plans. Work closely with project leadership to identify and escalate potential risks and prepare status reports. Mentor junior team members and facilitate communication between various teams within the engagement. Respond to proposals by providing accurate estimations and technical input, supporting the overall success and alignment of project objectives with client needs.

The team:

AI & Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

AI & Data professionals will work with our clients to:

• Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
• Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
• Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.
  
  

Location: Hyderabad/Bengaluru/Chennai/Pune

Qualifications

Required:

• 10-15 years of relevant consulting, industry or technology experience
• Experience in software development, professional services, solution engineering, and technical consulting with expertise in architecting and rolling out new technology and solution initiatives.
• Experience working with recommendation engines, data pipelines, or distributed machine learning and experience with data analytics and data visualization techniques and software.
• Experience in GCP Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics
• Experience with core Data Science techniques such as regression, classification or clustering, and experience with deep learning frameworks (such as TensorFlow, Torch, Caffe, Theano, etc).
• Develop a direction to manage the portfolio of to-be solutions in alignment with business outcomes
• Identify problem areas, perform root cause analysis of architectural design and provide relevant solutions to the problem
• Enable delivery teams and act as mentor by providing optimal delivery solutions with automations and frameworks for improved productivity
• Implement proof of concepts to validate cloud concepts, architecture and requirements and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
• Develop a direction to manage the portfolio of to-be solutions in alignment with business outcomes
• Identify problem areas, perform root cause analysis of architectural design and provide relevant solutions to the problem
• Enable delivery teams and act as mentor by providing optimal delivery solutions with automations and frameworks for improved productivity
• Implement proof of concepts to validate cloud concepts, architecture and requirements.
• Knowledge of cloud computing includes virtualization, hosted services, multi-tenant cloud infrastructures, storage systems and content delivery networks.
  
  

Preferred:

• Applied experience with machine learning on large datasets.
• Experience working with statistical packages (R, SAS, Stata, MATLAB, etc.), and in working with datasets (SQL).
• Google Certified Professional
  
  

Education:

• BE/B.Tech/M.C.A./M.Sc degree or equivalent from accredited university
  
  

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Requisition code: 351093