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Machine Learning Data Science Practitioner
Machine Learning Data Science Practitioner
This role involves managing, architecting, and analyzing big data to build data-driven insights and high-impact models. The practitioner will focus on model tracking, hyperparameter tuning, model versioning, and establishing governance, while collaborating with data scientists and infra teams.
About the role
Project Role Description
Manage, architect and analyze big data in order to build data driven insights and high impact data models. Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling & analyzing. Examine data from multiple sources and share insights which provide competitive advantage. Contribute to assets/offerings and thought leadership. Act as Subject Matter Expert in area of expertise and enhance Accenture's marketplace reputation.
Key Responsibilities
- Tracking of multiple models and experiments for auditing purpose
- Collaborate with data scientists for hyper parameter tuning and features maintenance
- Model management and model versioning
- Work with infra team, data scientists and business in establishing artifact lineage, model registry and governance
- Assist in A/B testing and automated deployment
- A pipeline for triggering retraining to detect model drift or data drift and trigger retraining
- Working knowledge of AWS Lambda, AWS Step Functions
Technical Experience
- Creation of CI/CD Pipelines for Machine learning algorithms, training and prediction pipelines
- Work with business stakeholders and data scientists to ensure value realization and ROI on operationalization of models
- A pipeline for training, tuning, lineage and depositing into the model registry
- Containerization and packaging of ML models
- Endpoint creation for prediction
- Monitoring of models in Production
- Exposure to building large-scale AI/ML models using AWS Sagemaker
Professional Attributes
- Be a self starter and a fast learner
- Possess strong problem solving skills with the ability to methodically analyze and resolve tech challenges
- Possess strong written, verbal, communication, analytical, technical, inter personal and presentation skills
- Excellent experience in interaction and handling of clients
Educational Qualification
Grad/ PG B Stat/M Stat/ B Tech/B E/PG/Diploma in Data Science from premier institute preferred
Additional Information
- Strong experience in Python 3, Python 2 and SQL
- Good understanding of AWS Sagemaker experiments