Job Description

Main Responsibilities: Develop and implement machine learning models to address complex business challenges. Design and deploy end-to-end ML solutions, including data preprocessing, feature engineering, model development, and evaluation. Work with large-scale datasets, performing data wrangling, transformation, and optimization. Collaborate with cross-functional teams to integrate AI-driven solutions into business processes. Utilize cloud platforms (AWS, Azure, GCP) and MLOps practices for scalable model deployment. Communicate technical findings and insights effectively to non-technical stakeholders. Stay updated on advancements in AI, machine learning, and data science to drive innovation. Requirements 5+ years of experience in Data Science, with a strong track record in applying ML techniques to real-world problems. Proficiency in Python and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Solid understanding of statistics, probability, and mathematical modeling. Experience with cloud platforms (AWS, Azure, GCP) and deploying ML solutions at scale. Strong problem-solving and analytical skills, with the ability to create innovative AI solutions. Excellent communication skills, with the ability to convey technical concepts to diverse audiences. Fluent in English (both written and spoken) Benefits Solid, competitive salary. Work in multilingual, multinational and multicultural environment on international projects Medical care