Team Lead (Python)- Artificial Intelligence, Knowledge management & data mining
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Employer: | Thales |
Domain: |
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Job type: | full-time |
Job level: | peste 5 years of experience |
Location: |
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Updated at: | 26.03.2021 |
Remote work: | On-site |
Team Lead (Python)- Artificial Intelligence, Knowledge management & data mining
The people we all rely on to make the world go round – they rely on Thales. Thales rely on its employees to invent the future: right here, right now.
Present in Romania for over 40 years, Thales is expanding its presence in the country by growing its Digital capabilities and by developing a Group Engineering Competence Centre (ECC). Operating from Bucharest, Thales delivers solutions in a number of core businesses, from ground transportation, space and defence, to security and aeronautics.
Several professional opportunities have arisen. If you are looking for the solidity of a Global Group that is at the forefront of innovation, but with the agility of a human structure that tailors to the personal development of its employees and allows opportunities for evolution in an international environment, then this is the place for you!
Team Lead (Python)- Artificial Intelligence, Knowledge management & data mining
Thales Romania also works with Thales Global Services, in particular with Thales Corporate Engineering, which is providing tools and methods for all the engineers of the group.
The development will be performed in close co-operation with experts in Thales Romania & Thales France and requires regular travelling between these locations.
Job summary:
Cognitive Services is an umbrella term for several techniques related to Artificial Intelligence, Knowledge management and data mining. At Thales Corporate Engineering, we explore the use of such techniques to improve efficiency of our engineering workbenches.
Responsibilities:
- Workload management
- Deliveries quality & performance
- Organization & planning
- Skills matrix management
- Engineering envirotment setup
- Technical debt management
- Risks management
- Reporting
- Team performance KPIs
- Onboarding new comers
- Interface with IS/IT
- Hiring/Retention
- Performance assessment
- Career development
- Coaching in technical and non-technical topics
- Team motivation
- Conflict management
- Impediments management
- Monitor and maintain good team mindset
- Holidays management
- Software architecture design
- Technical expertise support for the team
- Define software quality criteria
- Technical best practices sharing and monitoring inside the team
Required competencies/experience:
Must have competencies are in bold:
General competencies o Algorithmic:
- Algorithmic: Solid experience with complex algorithms hard on memory consumption / computing resources.
- Knowledge of industrial best practices to produce reliable code.
- Education/Experience in data-science is a plus but not mandatory if experience with complex algorithmics can be demonstrated.
Languages
- Python 3
- HTML/CSS/JavaScript (React)
- REST API
- Shell
Frameworks
- API : Flask-restful
- UI: React
- Python scientific libraries: Numpy, Scipy, Sciki-learn, Gensim would be a plus
Build
- Python virtualenv, poetry
Search & databases
- Elastic Stack (Elasticsearch, Logstash, Kibana...) would be a plus
- Graph-oriented DB (either OrientDB, JanusGraph, Neo4J) would be a plus
Test/Coverage/Quality Analysis
- For python code: PyTest, MyPy / Flake8 and Coverage
- For react code: ESLint, Jest or React Testing Library
AAA (authentication, authorization, audit)
- Basic authentication schemes
- OAuth and SAML would be a plus
Source code management + continuous integration + continuous deployment
- GitLab + GitLab CI
- Docker, Docker-compose
- JFrog Artifactory
Apply now!
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