Manager

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

AI/ML Architect - Google Cloud
- 10+ years in a customer facing role working with enterprise clients.
- 7+ Experience with Machine Learning recommendation systems, prediction systems,
natural language processing, computer vision, pattern recognition.
- 7+ years’ experience working in Enterprise Data Warehouse and Analytics technologies.
- Experience of solutioning and implementing Gen AI use cases
- Experience working with sales and technical stakeholders to translate complex customer
requirements into recommendations for appropriate solution architectures and consulting
services.
- Experience with one or more programming languages including but not limited to:
Python, Java and/or R.
- Experience in a statistical programming language such as R, SAS, Python and/or
applied Machine Learning techniques (i.e. dimensionality reduction strategies,
classification, and natural language processing frameworks).
- Experience in designing and deploying using one or more of the following technologies:
TensorFlow, Spark ML, CNTK, Torch, and/or Caffe.
- Systems design experience, with the ability to architect and explain data analytics
pipelines and data flows.
- Customer facing migration experience of service discovery, assessment, planning,
execution, and operations.
- Demonstrated excellent communication, presentation, and problem-solving skills.
- Experience in project governance and enterprise customer management.
- Mandatory Certifications required:
o Google Cloud Professional Machine Learning Engineer

Mandatory skill sets-AI/ML Architecture, GCP
Preferred skill sets-AI/ML Architecture, GCP
Years of experience required-11-15years
Education Qualifications-B.E / B.TECH/MBA/MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

AI Architecture

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Coaching and Feedback, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment {+ 21 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date