Design, develop, and deploy analytical and predictive models to support business decision-making.
Develop and implement analytics solutions for large-scale data sets using tools such as SQL, PySpark, and Python.
Construct and deploy machine learning algorithms tailored to the organization’s specific needs in areas like NLP, LLM, prediction, or classification.
Conduct experiments, optimize models, and fine-tune them to meet changing business requirements, using techniques like Hyperopt or XGBoost.
Work closely with analytics and technology teams, communicating results and recommendations effectively to business stakeholders.
Keep up with and adapt new advancements in AI/ML, including Generative AI, Quantum Computing, and Responsible AI, to provide a competitive advantage for the organization.
Experience:
Minimum of a Bachelor’s degree in fields such as Computer Science, Physics, Mathematics, Quantitative Methods, or a related discipline.
At least 3 years of experience in applying data-driven methods to various business scenarios, including the creation and use of advanced analytics and machine learning algorithms.
Proficiency in at least one programming or query language, such as Python, PySpark, or SQL.
Strong understanding of machine learning concepts and algorithms, such as clustering, regression, classification, forecasting, neural networks, hyperparameter optimization, NLP, and LLM.
English Language: Very good command of English, both written and spoken.
Nice to have:
Experience with frameworks like XGBoost, LightGBM, SMOTE, Prophet, Hyperopt, Keras, or OpenAI API.
Strong drive for continuous learning, whether it’s about new technologies or mastering relevant machine learning algorithms. Interest in topics like Generative AI, Quantum Computing, or Responsible AI.
Experience with Cloud Platforms: Experience or interest in delivering analytical projects on leading cloud platforms, such as GCP (Vertex AI), Azure (Machine Learning, Functions, Data Factory), AWS (Sagemaker, Athena), and familiarity with Databricks.
Offer:
Stable employment conditions based on an employment contract
Private medical care,
Life insurance
Employee share program
Access to the MyBenefit platform (possibility of using a wide range of products and services, including the Multisport card and the lunch card).
A wide training package (soft and technical training offer, access to the e-learning platform, possibility of co-financing courses and certification)
Participation in the implementation of projects on a global scale for the largest international companies using the latest technological solutions and tools.
