Responsibilities
Power Programmer is an important initiative within Global Delivery to develop a team of Full Stack Developers who will be working on complex engineering projects, platforms and marketplaces for our clients using emerging technologies., • They will be ahead of the technology curve and will be constantly enabled and trained to be Polyglots., • They are Go-Getters with a drive to solve end customer challenges and will spend most of their time in designing and coding, End to End contribution to technology oriented development projects., • Providing solutions with minimum system requirements and in Agile Mode., • Collaborate with Power Programmers., • Open Source community and Tech User group., • Custom Development of new Platforms & Solutions ,Opportunities., • Work on Large Scale Digital Platforms and marketplaces., • Work on Complex Engineering Projects using cloud native architecture ., • Work with innovative Fortune 500 companies in cutting edge technologies., • Co create and develop New Products and Platforms for our clients., • Contribute to Open Source and continuously upskill in latest technology areas., • Incubating tech user group
Technical Requirements
Responsibilities • Responsible for ensuring that ML models and pipelines are deployed successfully into production • Implementation of ML features for new and existing systems • Deploy applications to AWS cloud leveraging on the full spectrum of the AWS cloud services • Automate model training, testing and deployment using CI/CD • Understand and implement metrics to verify effectiveness and soundness of the ML model Requirements
Preferred Skills
Technology->Machine learning->data science
Technology->Cloud Platform->Azure AI Services->Azure Machine Learning
Technology->Machine Learning->MLOps
Additional Responsibilities
Minimum requirements • Formal training in a quantitative discipline (e.g., statistics, operations research, economics, computer science, mathematics) • 5 years of relevant work experience in data analysis, data science or related fields, with deep expertise in statistical data analysis • Experience with Python and related ML libraries (eg. Pandas, Pytorch) • Experience with database languages (e.g. SQL) • Experience working in a multi-disciplinary team of data scientists, software engineers, product managers and subject domain experts • Experience in Agile working environment Preferred requirements • Experience with AWS cloud services like AWS Textract and Comprehend is preferred • Experience with Dagster/Airflow is preferred • Experience in MLOps • Experience in delivering Natural language processing (NLP) products
Educational Requirements
Bachelor of Engineering,Bachelor Of Technology
