Ai Cognitive Services Lead
3 weeks ago
**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 service provider.
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 usingboth open souce and traditional licenced technologies.
**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
- 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 serverlessand 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
- 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 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
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