AI Cognitive Services Lead

LHH Recruitment Solutions

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AI Cognitive Services Lead

Job Objectives:

The AI and Cognitive Services Lead will be responsible to establish and deliver highly effective AI capability within the company and underpin the company's strategic objective to become a technology led facilities management company. Creating and leading the capability you will devise and implement a model for rapid delivery of technical solutions including chatbots and other AI and Cognitive services like voice enabled conversations, machine learning capabilities, implemented using both open souce and traditional licenced technologies. In this technical role, the successful candidate must have extensive proven experience implementing AI solutions on Cloud platforms and effective in both new and more established technologies along with the fundamental leadership skills.

Main Duties:

  • Design the future strategy of how all AI (and ML) capabilities will be used in Mitie
  • Hands-on with complex AI solutions and Proof of Concepts MVPs and prototypes to assess opportunities and challenges early-on
  • Deliver quality solutions in technologies like NodeJS, Angular v2.0+, ReactJS; Azure Cloud, Cosmos DB; AI platforms like IBM Watson, MS Luis, AWS etc
  • Discovering and reporting patterns and learnings from the field about challenges and opportunities in relation to AI/ML. Continuously assessing the AI/ML market for cost-effective and strategic solutions
  • Delivering solutions in various AI technologies like Deep learning platforms, Natural language processing and Text analytics, Speech recognition, Image/Video analysis etc
  • Building the AI solutions using Azure Cloud platform: Developing for Azure storage, Determine workload requirements, Design for identity and security etc
  • Design complex solutions that effectively work end-end across system components and various applications
  • Provide assurance over the development and occasionally carry out complex design/development tasks, as required
  • Manage and develop a team and be responsible for their performance
  • Strong leadership - People, Capability - Application and Technology, Processes, Third-parties and Stakeholders; lead by example
  • Complete any ad-hoc duties as requested

Person Specification:

Essential:

  • SC Cleared or eligible for SC Clearance
  • Extensive hands-on development experience in open technologies like Javascript, HTML and CSS, NodeJS, Angular v2.0+, ReactJS (10-15 years)
  • Comprehensive hands-on experience in Cloud platform technologies, mainly Microsoft Azure with knowledge of core cloud computing concepts including compute, storage, networking, databases, identity and security and higher order capabilities including serverless and IoT
  • Hands-on experience with machine learning algorithms, model development, common frameworks, workflow tools, and/or applied AI namely, Deep learning platforms, Natural language processing and Text analytics, Speech recognition, Image/Video analysis etc
  • Experience working as part of or alongside an enterprise architecture function, providing subject matter expertise in the AI/ML domain
  • Ability to switch technologies easily, but strong experience in more than one listed above
  • Hands-on/excellent understanding of Azure DevOps - Boards, Pipelines, Repos, Artefacts etc
  • Proven ability to execute as an individual contributor in the face of ambiguity, shifting priorities, and limited resources
  • Experience of influencing stakeholders on the solutions for proposed initiatives
  • Experience of managing Vendors with Onshore/Offshore teams
  • Strong business acumen; ability to understand how and why business users make decisions and how data can enable them
  • Strong written and verbal communication skills
  • Experience with Agile development practices

Desirable:

  • Certifications and courses in any of the below would be desirable:
    • Microsoft Certified: Power Platform Solution Architect Expert
    • IBM Watson: Data and AI Learning Catalog
    • IBM Watson Assistant Development & Core Functionality
    • AWS Certified Machine Learning - Specialty
    • Google Professional Machine Learning Engineer
    • MCSA: SQL 2016 Database Development

Descriere companie

Detalii oferta de angajare

24 Nov 2022

Locatia jobului

United Kingdom, Lancashire, Manchester

Tip job

Full time

Categorie job

Tehnologia informaţiei, Telecomunicaţii

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