À propos
Partner with cross-functional business and technical teams to identify and define AI and machine learning use cases that improve efficiency, performance, and decision-making. Help shape project scope, objectives, and success metrics. End-to-End ML Delivery:
Own machine learning projects throughout their lifecycle, including data collection, preprocessing, model development, deployment, and ongoing monitoring in production environments. Programming & Data Engineering:
Develop clean, maintainable code (primarily in Python) to build data pipelines, implement ML models, and automate analytical workflows. Use SQL for data extraction and transformation. Data Analysis & Modeling:
Analyze large, complex datasets from operational systems (e.g., ERP, MES, IoT, or similar sources) to identify trends, engineer features, and build predictive or prescriptive models. Stakeholder Communication:
Translate technical findings into clear, actionable insights for non-technical stakeholders to support data-driven decisions. Qualifications & Experience Experience:
3+ years of hands-on experience in AI, Machine Learning, or Data Science. Experience in industrial, manufacturing, or operational environments is a plus. Technical Skills: Strong proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) Solid SQL skills for querying and data manipulation Experience with data visualization tools (e.g., Power BI, Tableau, or similar) Basic understanding of MLOps concepts, including model deployment and monitoring
Problem-Solving:
Demonstrated ability to break down complex problems and deliver practical, data-driven solutions. Communication & Collaboration:
Strong communication skills with the ability to work effectively across technical and non-technical teams. Nice to Have Experience with cloud platforms such as AWS, Azure, or GCP Exposure to time-series analysis, anomaly detection, optimization techniques, or similar advanced analytics Familiarity with operational or manufacturing data and processes (e.g., quality, maintenance, supply chain)
Compétences linguistiques
- English
Avis aux utilisateurs
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