Senior AI and ML Development Lead
Há 3 dias
Decskill operates across three core areas: DECSKILL TALENT, DECSKILL BOOST, and DECSKILL CONNECT. DECSKILL TALENT empowers our team to embrace the digital transformation challenges of our clients, driving innovation and ensuring project success and business growth. DECSKILL BOOST optimizes Time-to-Market and delivers innovative solutions exceeding client expectations, while DECSKILL CONNECT collaborates closely with clients to implement and manage IT infrastructures that generate long-term value.
About the RoleWe are seeking a highly skilled Machine Learning Senior Officer to join our team. As a key member of our team, you will be responsible for analyzing internal clients' needs, investigating and solving business issues using technical-driven, AI/ML strategies, building and/or adapting AI/ML models, and implementing and assisting the deployment and maintenance of models.
Key Responsibilities:- Analyze internal clients' needs and 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, including collecting labeled data, setting up and training models, testing and evaluating results.
- Work closely with clients during application rollout and all stages of the application lifecycle.
- Implement and assist the deployment and maintenance of models, following best practices in the industry.
- Up to 2 years of experience as Data Analyst / Data Scientist / Machine Learning Specialist in at least one of the following areas: 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 Speech-to-text or computer vision projects.
- Artificial Intelligence techniques and paradigms.
- Exposure to professional software development.
- 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., TensorFlow, Keras, …).
- Knowledge of at least one ML development stack (e.g., Scikit-learn, Keras, PyTorch…).
- Effective programming skills (e.g., Python) and algorithmic knowledge.
- Excellent communication and interpersonal skills.
- Flexibility: ability to work in a changing environment.
- Research-oriented.
This role requires strong analytical and problem-solving skills, as well as excellent communication and interpersonal skills. If you are a motivated and detail-oriented individual with a passion for AI and ML, we encourage you to apply for this exciting opportunity.
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