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Digital Engineering - Industrial Data & AI Managing Consultant - Capgemini
Software Engineer
Lead digital engineering projects in industrial data and AI, driving end‑to‑end solutions that combine Python, machine learning, AWS cloud services, and industrial IoT data pipelines to transform manufacturing operations.
About the role
Key Responsibilities
- Lead the design and delivery of AI‑driven data solutions for industrial clients, ensuring alignment with business objectives.
- Architect and implement scalable data pipelines using Python and AWS services (S3, Glue, Lambda, SageMaker).
- Collaborate with cross‑functional teams to integrate industrial IoT data streams into analytics platforms.
- Mentor junior consultants, providing technical guidance and fostering a culture of continuous improvement.
- Present findings and recommendations to senior stakeholders, translating complex data insights into actionable strategies.
Requirements
- 5+ years of experience in data engineering, AI, or related fields within an industrial or manufacturing context.
- Proficiency in Python, machine learning frameworks (scikit‑learn, TensorFlow, PyTorch), and AWS cloud architecture.
- Hands‑on experience with industrial IoT protocols (OPC UA, MQTT) and data ingestion from PLCs.
- Strong analytical skills, with a proven track record of delivering data‑driven solutions that improve operational efficiency.
- Excellent communication and stakeholder management abilities.
Skills
pythonmachine learningaws