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Lead AI/ML Cloud solutions architect

  • Artificial Intelligence & Quantitative Analytics
  • Full time
  • R-189004

About this role:

The Enterprise Analytics and Data Science (EADS) organization is looking for a Lead AI/ML Cloud solution architect to join our team and participate in design and planning solutions for cloud migration both to private and public cloud. The focus of the role is to build solution design both for data as well as tooling and technology stack for model development and deployment. Expectation is also to plan and design migration of our existing libraries and models to the target state platforms.

The incumbent is expected to have the required technical depth Cloud technology and have familiarity with AI/ML concepts, Data warehousing and reporting tools to be able to drive the cloud migration projects and working closely working with engineering and data science teams. S(he) needs to work closely with technology, data science, data engineering and LoB teams to drive product roadmap and implementation. Prior experience in successfully migrating data and AI/ML solutions from on-prem to cloud will be a bonus.

In this role, you will:

  • Play a role of Cloud solution architect/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:

  • 10+ years of total experience across Cloud, AI/ML, solution engineering, software development, big data platforms
  • 4 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

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 initiatives

Job Expectations:

  • same as highlighted above

Market Skills and Certifications:

  • 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.

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

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