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SE / SSE - Python - Professional Services (Enterprise SaaS)

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Job Description

Who is AiDash?

AiDash is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, and water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. Our customers deliver ROI in their first year of deployment with reduced costs, improved reliability, and achieved sustainability goals. Learn more at www.aidash.com.


What will you do?

- Handle end-to-end delivery of O/P from our proprietary AI models and structure the data for use in analysis.

- Build custom solutions and extensions in Python. Design and develop high-quality custom solutions and extensions for our proprietary DS platform and frameworks.

- Proactively find problems with the existing pipelines and provide resolutions.

- Automate processes: Identify and automate repetitive manual processes to improve efficiency and productivity within the team and for our customers.

- Work with structured and semi structured data and create data pipelines. Use analytical techniques to analyse data and provide insights.

- Build POCs to provide solutions to unique customer needs.


What are we looking for?

- 2+ years of experience in developing reusable code/components.

- Sound with data structures and algorithms.

- Sound understanding of Python, Unit test cases, code quality & coverage.

- Good working knowledge of relational database systems (PostgreSQL/MySQL) or NoSQL databases such as MongoDB.

- Experience in developing and maintaining Restful APIs.

- Operational experience with AWS.

- Good to have operation experience in Docker and Kubernetes

- Basic understanding of distributed system architecture and design, including topics like load balancing, distributed databases, and microservices is good to have


What other experience will make you a great candidate?

- Exposure to the GIS tools and technologies

- Experience in leading large initiatives.

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