Good to have:
- Proficiency in Python and machine learning libraries, experience with deep learning frameworks (e.g., TensorFlow, PyTorch), knowledge of software engineering principles, understanding of cloud computing platforms and deployment pipelines, familiarity with DevOps practices.
Key Responsibilities:
- Work on various software projects using Python as their primary programming language.
- Get involved in developing desktop applications, command-line tools, automation scripts, or backend services.
- Responsibilities include writing clean, efficient, and maintainable code, collaborating with other team members, and participating in the software development lifecycle.
- Build web applications using Python along with other technologies such as Django, Flask, or FastAPI to build dynamic websites and web applications.
- Work on back-end aspects of web development, implementing features, optimizing performance, and ensuring the security of web applications.
- Develop software solutions using industry standard delivery methodologies like Agile, Waterfall across different architectural patterns.
- Write clean, efficient, and well-documented code maintaining industry and client standards ensuring code quality and code coverage adherence as well as debugging and resolving any issues/defects.
- Participate in delivery process like Agile development and actively contributing to sprint planning, daily stand-ups, and retrospectives.
- Resolve issues or incidents reported by end users and escalate any quality issues or risks with team leads/scrum masters/project leaders.
- Develop expertise in end-to-end construction cycle starting from Design (low level and high level), coding, unit testing, deployment and defect fixing along with coordinating with multiple stakeholders.
- 3 – 6 years of hands-on experience in writing scalable code in Python programming language with the knowledge of at least one Python web framework like Django, Flask, Fast APIs, etc.
- Experience in database technologies such as SQL and NoSQL with ORM implementations.
- Experience in event-driven programming in Python.
- Proficient understanding of code versioning tools such as Git, SVN, Bitbucket etc.
- Experience in any one of the cloud computing platforms like AWS, Azure or GCP.
- Experience in Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, spaCy, NLTK, sci-kit-learn and open source tools (minio, kafka, keyclock, ocr tools).
- Experience in Agile project development methodologies.
- Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries.
- Knowledge and experience working with Microsoft Office tools.
