Create and improve software products using design patterns, principles refactoring and development best practices.
Enhancing coding performance, Unit testing developed code, deploying in both lower and higher environment, Delivering product with 100% accuracy with timeline.
Provide excellent client facing service working with stakeholders across different geographical locations.
Ability to work on multiple client activities in a very fast paced environment. Collaborate with data engineers and other key stakeholders.
Data integration, data mining and natural language processing.
Experience with Machine learning frameworks, libraries, and agile environments.
Very good knowledge in Python programming
Experience in developing, implementing, maintaining, and automating models’ creation using Python.
Technical SME on Microsoft Azure and AI/ML.
Experience in designing and building CI/CD pipeline implementations using Azure DevOps.
Knowledge of Dockers, Kubernetes, familiarity with ML-Flow.
Hands of experience building MLOps platform.
Operationalize and monitor machine learning models using high end tools and technologies.
Design & implementation of DevOps principles in Machine Learning.
Data Science quality assurance and testing and Model Governance & Monitoring.
Work well in a fast-paced cross-functional environment Skills/Requirements.
Experience with SQL or other Databases.
Outstanding Communication, analytical and problem-solving skills
• Bachelor’s degree in Engineering, Technology, or a related course of study from an accredited college/university
