Accenture | Let there be change
We embrace change to create 360-degree value
- Key Responsibilities : 1 Design,build,test n maintain ML infra to empower data scientists to rapidly iterate on model dvlpment 2 Design n implement end-to-end ML pipelines accounting for the variability in data sources n collection, data analysis n feature extraction, modeling frmwrks for cloud n edge n serving infra 3 Work with data scientists, DevOps, data engineers/SMEs to understand how data availability n quality affects model performance 4 Establish architecture for metric visualization tools
- Technical Experience : 1 Knowledge of ML Flow , Kube Flow and ability to use it for Experiment Tracking, Model Versioning and Model registry 2 Basic knowledge of AWS EC2 instance, ECS , EMR 3 Expert knowledge and experience of Kubernetes and Docker 4 Python programming skills are must 5 Develop continuous integration n deployment CI/CD pipelines for multiple algorithm development Team
- Professional Attributes : 1 Good communication skills 2 Good Analytical and programmatical skills 3 Ability to work under pressure 4 Exposure to work with client directly is an added advantage
- Educational Qualification : 1 Bachelor degree in CS or any other relevant field 2 Certification/ training-MLOPS/DevOps -useful
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Our more than 500,000 people in more than 120 countries, combine unmatched experience and specialized skills across more than 40 industries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.