Senior Data Scientist / AI Engineer - SC Cleared

at  Capgemini

YOUR SKILLS AND EXPERIENCE

• Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.).
• Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy-to-understand form on a day-to-day basis, and managing multiple stakeholder relationships and inspiring team-mates.
• Experience of winning work with private and public sector clients or internal clients within large organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn)
• Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform).
• Technology deployment– proven experience using technologies such as Docker, Kubernetes, CI/CD platforms (e.g. Jenkins, Tekton, ArgoCD), GitHub, to deploy complex solutions robustly and securely.
• Strong track record of building and leading technical teams, managing workloads and offering technical guidance and leadership, running Agile processes and identifying and mitigating project risk.

Please refer the Job description for details