HomeData Science Jobs - BharatWells Fargo | Hiring | Senior AI/ML Cloud Engineer | Bangalore/Bengaluru |...

Wells Fargo | Hiring | Senior AI/ML Cloud Engineer | Bangalore/Bengaluru | BigDataKB.com | 2022-09-28

Job Location: Bangalore/Bengaluru

In this role, you will:

  • Play a role of Cloud Engineer/consultant for end-to-end AI/ML solutions including data, technology infrastructure and models.
  • Work with the technology team to plan, execute, and deliver cloud migration projects. Contribute towards the best practices regarding handling the migration.
  • Provide technical design, implementation, and support services around the creation of cloud landing zones
  • Provisioning of migration tooling to accommodate cloud migration plans
  • Analysis of source environment workloads for planning migration paths

Required Qualifications, International:

  • 7+ years of total experience across Cloud, AI/ML, solution engineering, software development, big data platforms
  • 3 plus years as a Cloud Engineer and should have good exposure in Bigdata and Machine Learning models.
  • B.S. / B.E. / B.Tech in quantitative disciplines like computer sciences, engineering, AI/ ML.
  • Hands-on experience on one of these Cloud Platforms: Google Cloud, Microsoft Azure, Amazon AWS – especially services related to AI/ML use cases and applications
  • Server Migration Experience
  • Experienced with Load Balancers, Cloud VPCs, Cloud VPN, Cloud DNS, Cloud Firewall, OpenVPN, Route53
  • Migration Tools CloudEndure, Migrate for Compute Engine
  • Top candidate would have played a pivotal role in migrating solutions from on-prem to cloud, understand the common pitfalls to avoid and able to define the KPI s to measure success of the migration
  • Top candidate would have in depth knowledge of entire suite of services in Google Cloud Platform
  • Experience with application transformation and modernization & data migrations projects.
  • Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools
  • and environments Understanding of the auxiliary practical concerns in production ML systems.
  • Experience with application transformation and modernization & data migrations projects.
  • Strong communication, presentation and consulting skills, including technical writing skills and the ability to listen and understand client issues
  • Persuasive written and verbal communication skills, proven ability to create client ready marketing material and documentation is a plus
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Desired Qualifications:

  • Familiarity with AI/ML modeling frameworks like Scikit-learn, SparkML, TensorFlow, PyTorch, Keras and knowledge of AI/ML modeling and production lifecycle
  • Cloud experience in banking background preferred
  • Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment
  • Ability to learn the business aspects quickly, multitask and prioritize between projects.
  • Takes ownership for responsibilities for own and drive same effort to the team
  • Proactive and engaged in organizational initiative
  • Cloud Certification example Google Professional Cloud architect.
  • Good to have certifications in Data Science, AI/ML or Big data
  • Agile practices like Scrum Master, SAFe, etc.

 

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