KGS – TaxTech – Machine Learning/Python – AM – Bangalore Full-time

Job Description

• 8-10 years in a machine learning role with demonstrable experience with Cognitive computing.
• Design and implement software systems with various technologies and ensure compliance to all architecture requirements.
• Software requirement analysis, modularising functional requirement, designing software solution, Developing, and troubleshooting code.
• 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.

Responsibilities

• 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

Qualifications
• Bachelor’s degree in Engineering, Technology, or a related course of study from an accredited college/university