Machine Learning Officer - Junior
Machine Learning Officer - Junior
Posted on :
25-04-2025
Employer Active
1 Vacancy
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Job Description
Job description:
Develop End to End Product Lifecycle:
- Develop Machine Learning (ML) and Artificial Intelligence (AI) solutions i.e. collect and label data setup and train models test and evaluate results
- Develop modify and support inhouse applications working together with the data scientists and developers of the AC team
- Work closely with clients during all stages of the application life cycle
- Design the most adequate approaches to solve the identified problems within the companys framework
Implement and assist the deployment and maintenance of models and softwares:
- Follow industry best practices to implement and scale out the developed solutions into production grade software
- Assist the operational teams with the deployment monitoring and maintenance of the developed solutions
- Contribute to disseminate a culture of data driven solutions within CIB
- Maintain a strong market watch on the latest developments on methodologies technologies and tools
Main Tasks:
- Develop End to End Product Lifecycle
- Implement and assist the deployment and maintenance of models and softwares
Qualifications :
Technical Skills:
- Ability to explain the results of a model and the different elements impacting it
- Statistical and quantitative analysis skills (e.g. machine learning models statistical models Bayesian statistics probability theory time series analysis
- Knowledge of at least one ML development stack (e.g. scikitlearn keras
- Knowledge of NLP techniques
Language Skills:
- Fluent English
- French and Portuguese are a plus
- Effective Programming skills (e.g. Python R Java Go) and algorithmic knowledge.
- Knowledge of databases and associated tools (SQL and NoSQL)
- Familiarity with continuous integration tools (pref. Jenkins Git)
- Knowledge of deep learning architectures and frameworks (e.g. PyTorch TensorFlow)
Soft Skills:
- Ability to think abstractly and creatively
- Excellent communication and interpersonal skills
- Flexibility: ability to work in a changing environment
Education:
- Engineer School/masters degree from university with a specialization in mathematics statistics computer science data science or any engineering related field
- Although not strictly required a PhD on datascience engineering or related fields is an advantage
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
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