Machine Learning Data Science Practitioner

About Accenture

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services-all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 674,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com Accenture | Let there be change We embrace change to create 360-degree value www.accenture.com

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 Accentures marketplace reputation.

Key Responsibilities

• Tracking of multiple models n experiments for auditing purpose
• Collaborate with data scientists for hyper parameter tuning and features maintenance
• Model management n model versioning
• Work with infra team,data scientists n business in establishing artifact lineage,model registry n governance
• Assist in A/B testing n automated deployment
• A pipeline for triggering retraining to detect model drift or data drift n trigger retraining
• Working knowledge of AWS Lambda,AWS Step Functions

Technical Experience

• Creation of CI/CD Pipelines for Machine learning algorithms, training n prediction pipelines
• Work with business stake holders and data scientists to ensure value realization n ROI on operationalization of models
• A pipeline for training,tuning,lineage n depositing into the model registry
• Containerization n 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 n a fast learner
• Possess strong problem solving skills with the ability to methodically analyze n resolve tech challenges
• Possess strong written, verbal,comm,analyitical,tech,inter personal n presentation skills
• Excellent exp in interaction n 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 n SQL
• Good understanding of AWS Sagemaker experiments