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Job Location: India
Role:
- Own AI toolchain for Multi-Objective optimisation and Neural Networks
- Modelling – to understand the behaviour of complex systems through dynamics or data driven modelling.
- Optimisation – to make recommendations about a system and its operation.
- Control – enacting recommendations through either closed-loop control or human-in-the-loop decision making.
- Be a proficient user of standard ML modelling algorithms and model development methodologies.
- Be aware of methodologies available and their respective potential use and limitations.
- Implement interfaces to 3rd party software and systems.
Experience :
- Proficient in Python. Knowledge of other OOP languages is appreciated (C++, Java) to solve engineering challenges
- Essential experience of Software Engineering Techniques, Source Control software like (Git), Design Patterns, Test Driven Development (TDD)
- Experience of Major Data Science/Analysis libraries (Tensorflow, Pandas, Scikit-learn etc) or similar.
- Experience with Azure or AWS is essential
- Knowledge of container technologies.
- Good knowledge of agile delivery experience for software and systems.
- Knowledge/experience of RESTful or SOAP API data service development.
- Experience in combining modelling and data-driven techniques
- Experience of developing models to solve problems in the supply chain, Transport and manufacturing.
Responsibility:
- Working experience in Metaheuristic Optimization
- Deep Learning, Operational Research, Optimization, Multi-objective Optimization
- Excellent understanding of Data Structures and Algorithms.
- Working knowledge of scripting Python/Shell.
- Working knowledge on how web works, HTTP protocol, cookies, caching, DNS, CDNs, etc.
- Working experience in databases (relational and non-relational), SQL scripting.
- Troubleshoot any issues with existing features, live on production.
- Experience in software design and architecture.
- Demonstrated ability to self direct and work independently.
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