MACHINE LEARNING ARCHITECT

Recruiter
Ignata Technology
Location
Berkshire
Posted
13 Apr 2018
Closes
20 Apr 2018
Contract Type
Permanent
Hours
Full Time
We are looking for a AI ( Machine Learning ) Architect. Computor Sciences or PhD graduate in Machine Learning is the base line . For course a MSc will also tick the box for the role.

- Utilising Artificial Intelligence(AI) and big data analysis methods to work within cross-functional teams to engage the internal clients and broader customer base, comprehend the internal client's problems, develop strategic analytical products, support requirements analysis, inform the creation of strategic plans for business transformation, including understanding clients' most complex business challenges, architecting a solution that delivers a measurable outcome, testing the solution, and implementing the transformation.
- Apply extensive domain expertise and business acumen to develop multiple insights and theories for complex problems in the Industrial, Manufacturing and Security spaces that require the regular use of ingenuity and creativity and deep understanding of existing methods and solutions.
- Extract qualitative and quantitative relationships, including patterns and trends from a wide variety of data. Use technical and analytical expertise to explore and examine data from multiple disparate Big Data sources with the goal of discovering patterns and previously hidden insights that can provide a competitive advantage or address a pressing mission problem.
- Analyse and implement analysis infrastructure and tools, analytic workflow processes, and complex data visualizations and leverage foundational comprehension of mathematical and statistical concepts, algorithm development, feature engineering, model selection, training testing and validation of different models, pipeline generation, and domain expertise to bridge the gap between decision makers and technical experts, ensuring data or modelling solutions meet business requirements.
- Contribute to the development of strategies for deploying AI techniques into existing business, development of roadmap and requirements analysis considering both AI and business potential analysis. Develop new concepts and experiments for variety of these ideas, translate these ideas into executable action plans, and communicate these plans to a diverse client base

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