Machine Learning Senior officer
✓ Analyze internal clients’ needs:
> Collaborate with clients to best understand their operational and strategic needs in terms of complex AI/ML challenges
> Investigate and solve business issues using technical,
- driven, AI/ML strategies
✓ Build and/or adapt AI/ML models:
> Design and develop Machine Learning (ML) and Artificial Intelligence (AI) solutions, i. e. , collect labeled data, setup and train models, test and evaluate results
> Work closely with clients during application
- out and all stages of the application lifecycle
> Design the most adequate approaches to solve the identified problems within the company’s framework
✓ Implement and assist the deployment and maintenance of models:
> Follow best practices in the industry to implement and scale out the developed solutions into
- grade software
> Assist the operational teams with the deployment, monitoring, and maintenance of the developed solutions
SKILLS:
✓ Fluent in English (C1-C2)
✓ Ability to think abstractly and creatively
✓ Ability to explain the results of a model and the different elements impacting it
✓ High statistical and quantitative analysis skills (e. g. , machine learning models, statistical models, Bayesian statistics, probability theory, time series analysis, …)
✓ Knowledge of ETL methods
✓ Knowledge of Machine Learning models
✓ Knowledge of NLP and/or computer vision techniques
✓ Knowledge of deep learning architectures and frameworks (e. g. , Tensor
Flow, Keras, …)
✓ Knowledge of at least one ML development stack (e. g. , Scikit-learn, Keras, Py
Torch…)
✓ Effective Programming skills (e. g. , Python) and algorithmic knowledge
✓ Excellent communication and interpersonal skills
✓ Flexibility: ability to work in a changing environment
✓ Research-oriented
EXPERIENCE:
✓ Up to 2 years of experience as Data Analyst / Data Scientist / Machine Learning Specialist in at least one of the following areas:
> NLP, data extraction, document processing, or process automation projects
> Classification / Regression / Clustering Machine Learning and/or statistical models
> Deep Learning models preferentially in the context of NLP, Speech-to-text, or computer vision projects
> Artificial Intelligence techniques and paradigms
> Exposure to professional software development environment
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