AI Engineer

Job Description Roles & Responsibilities Job Description: AI Model Development: Participate in the design, training, and optimization of Machine Learning (supervised/unsupervised) and Deep Learning models. Implement algorithms for specific use cases (e.g., computer vision, NLP, prediction). Data Preprocessing and Analysis: Clean, structure, and analyze datasets to make them usable. Collaborate with data scientists to identify trends and insights. Integration and Deployment: Assist in integrating models into applications or production pipelines (APIs, cloud, etc.). Contribute to technical documentation and validation testing. Technology Watch: Stay informed about advancements in AI (frameworks, tools, best practices). Participate in code reviews and internal workshops. Cross-Functional Collaboration: Work with business teams to understand needs and translate requirements into technical solutions. Attend technical and functional meetings. Desired Candidate Profile Education: Master's degree (Bac +5) in Artificial Intelligence, Data Science, Computer Science or equivalent field Profile 1: 3 years of experience Required technical skills: Languages: Python (required), knowledge of R or C++ (an advantage). Libraries/Frameworks: Machine Learning: Scikit-learn, TensorFlow, PyTorch. Data: Pandas, NumPy, Matplotlib/Seaborn. Tools: Experience with Jupyter Notebook, Git, Docker. Knowledge of databases (SQL/NoSQL) and cloud environments (AWS, Azure, GCP) is appreciated. Key concepts: Basics in statistics, linear algebra, and neural networks. Knowledge of MLOps (deployment, monitoring) is an asset. Company Industry ConsultingManagement ConsultingAdvisory Services Department / Functional Area Engineering Keywords AI Engineer Get real-time job updates only on our App