Job Opportunity: Lead Data Scientist / Machine Learning Engineer For job seekers, BONAPOLIA offers a gateway to exciting career prospects and the chance to thrive in a fulfilling work environment. We believe that the right job can transform lives, and we are committed to making that happen for you.
About the Customer The client is the largest Google digital consulting agency in Europe, operating only in the Google cloud.
Requirements Background in the Data Science/Machine Learning area (4+ years) Proven experience starting new Machine Learning projects from scratch: from problem analysis and data collection to PoC and deployment to production Expertise with Generative AI (RAG applications, Prompt Engineering) Confidence in Python, Pandas, Scikit-learn, Matplotlib, SQL, etc. Competency in Machine Learning algorithms, their limitations, and use cases Knowledge of how to set up MLOps A sharp-minded person who can dive into the business domain and emerge with ideas on how to use data to make the business more effective Creative person who can convert the data into a story with plots and insights Strong communicator who can speak to a client face-to-face, understand business needs, and explain the solution in an easily digestible way Nice to Have MS or BS in computer science or related field Expertise in ML/DL frameworks (PyTorch, TensorFlow, etc.) Familiarity with micro-service architecture, task queues (e.g., Celery), cloud (e.g., AWS or Azure), Docker, OS and networking basics, and database systems (e.g., Postgres, Kaggle or GitHub) account with projects that demonstrate skill level English level Upper-Intermediate Responsibilities Lead an AI development team Understand business objectives and models that help achieve them Propose and realize new ideas to benefit our customers and the company Fully cover (develop, maintain, and monitor) the entire lifecycle of created models Propose new research, improvements, and best practices Share knowledge, ideas, and new approaches with team members Stay up-to-date with the latest findings in applied data science
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