October 16
• In this role you will be working very closely with Project Stakeholders and Technical team. • As part of your role, you will be responsible to develop and maintain Pre/Post processing programs and ML models. • You will be responsible for maintaining, patching, upgrading and developing for multiple ML & Python based solution. • This role is a very engaging mix of hands on technical work as well as opportunities to show leadership skills. • You will need a blend of superb problem-solving and innovation skills to resolve a wide variety of technical challenges. • You will be working with Stakeholders and Solution Architects who thrive through innovation and will ensure ample room for innovation on every project you are involved in. • You will be working with best in class employees with a diverse background in a very fun and engaging environment. • Build machine learning pipelines for a variety of use cases in insurance. • Develop python pre/post processing programs for the ML Pipelines using industry standard ML libraries. • Utilize GCP and Azure based tools for implementation of ML pipelines. • Work with Production Support /Run the Shop IT Partner vendor team and provide directions and assistance. • Interact closely with various functional and cross -functional teams to translate business requirements into technical solutions. • Develop Enterprise API and Microservices using Python, JavaScript, Docker, Kubernetes and used DevOps for CICD.
• Overall, 4-6 years of extensive experience in Python, GCP and Azure • Strong communication skills • Experience in building applications and solutions in Azure • Having Math or Computer Science educational background • Proficient in Python programming language • Experience in Terraform • Proficient in Cleaning and structuring the data by applying feature-engineering techniques. • Proficient in Programming theory, practice and combined with strong hands-on experience in enterprise architectures • Experience in SQL and Database Design and SQL Tuning • Must have multiple full lifecycle project experience in developing ML/AI based solutions. • Basic understanding of NoSQL and RDBMS databases. • Strong focus on providing service to the customer. • Out of the box thinking; Flexible / Critical thinking skills a must. • Able to sell concepts and designs / benefits to multiple audiences. • Able to work independently and in diverse, co-located and remote teams
• Competitive Compensation & Total Rewards Incentives • Attractive Mediclaim Coverage • Annual Leave of up to 25 days • 12 Sick Leaves • 12 Casual Leaves • Additional leaves for marriage, child-birth, adoption, bereavement • 11 Holidays for all employees • Utility Allowance to cover for Internet and Phone expenses • Employment Assistance Program • Gratuity eligibility • Business Travel Accident Insurance • Active employee engagement activities • Access to LinkedIn Learning in addition to ongoing Genworth Training calendar
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