Verisk Analytics India Private Limited

Sr Software Engineer I Python AWS

  • Job Type: Full Time
  • Industry Type: IT Sector
  • Industry Location: Hyderabad/Secunderabad
  • Experience: 5-9yrs
  • No. of Positions: 10
  • Salary Range: 6-10.8 lac
  • Primary Skills: Software Development Docker DynamoDB EC2 AWS Analytics
  • Secondary Skills: API Gateway RDS Kubernetes
  • Job Location: Hyderabad/Secunderabad
  • Posted Date: 381 days ago
Job Description
Job Description
  • The Insurance Claims Analytics Center of Excellence at Verisk is looking for a Senior Software Engineer. You will work closely with a team of Developers and Data Scientists in India and the United States to develop production-grade machine learning model implementations, APIs, and applications in which AI is embedded.
  • No specialized AI or Data Science knowledge is required as we’re seeking an experienced Python developer to build quality software and bring in software engineering best practices. However, experience working with Python-based AI libraries for model implementation and deployment is greatly valued.
  • This is a rare chance to join a small team within a large organization and make very meaningful contributions early on for new and exciting products.
Qualifications
  • 5-9 years of development experience
  • Effective verbal, written and digital communication with teams spread around the world.
  • Ability to quickly understand requirements and deliver with minimal need for oversight and supervision during the working day.
  • Self-motivated and problem-solving attitude (goals/features code)
  • Prior Software development experience building highly scalable web applications and APIs required.
  • Python development experience is required
  • Full-stack experience is ideal
  • Experience with AWS Services (Lambda, API Gateway, EC2, S3, DynamoDB, RDS, IAM, SQS, ECS, EKS etc.) and AWS SDKs/CLI required
  • Experience with all phases of the software development life cycle, best practices and Agile Software Development
  • Experience with DevOps including CI/CD
  • Ability to write effective test cases, unit testing
  • Ability to troubleshoot and maintain mid-level to complex applications
  • Demonstrated ability to produce technical specifications, design and documentation
  • Ability to learn and adapt new technologies
  • Knowledge of containerization (Docker) and orchestration (Kubernetes) a plus
  • Experience deploying machine learning models highly desirable
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