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AIML Data Scientist

AIML Data Scientist

Cognizant

5 - 8 years

27 - 42 Lacs

chennai

Posted:1 day ago| Platform:

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Skills Required

architectural design python natural language processing version control searching cloud platforms aiml artificial intelligence coding azure aws git gcp spark devops oops code review object oriented programming hadoop aws cloud computing gcp cloud programming ml deployment

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Summary

We are seeking an experienced Cloud Architect with a strong background in Python programming and extensive knowledge of Azure AWS or GCP cloud platforms. The ideal candidate will have a deep understanding of object oriented programming (OOP) concepts SOLID principles and architecture design. Additionally the candidate should be proficient in DevOps practices version control using Git and have experience with AI/ML services including NLP Generative AI Vector Search and Large Language

Responsibilities

Design and architect scalable secure and resilient cloud solutions on Azure AWS or GCP. Develop and maintain Python applications with a focus on OOP principles and SOLID design. Implement and enforce best practices for software architecture and coding standards. Utilize Git for version control and collaborate with team members on code reviews. Conduct code reviews to ensure code quality readability and adherence to standards. Work closely with DevOps teams to automate deployment monitoring and scaling processes. Integrate AI/ML services including NLP Generative AI Vector Search and LLMs into cloud solutions. Utilize the LangChain framework for developing applications powered by large language models. Troubleshoot and debug cloud applications to ensure optimal performance and reliability. Stay updated with the latest industry trends and advancements in cloud computing and AI/ML technologies. Contribute to the continuous improvement of development processes and methodologies. Manage project timelines deliverables and stakeholder communications. Collaborate with cross functional teams to define project requirements and deliverables. Proficiency in Python programming. Strong understanding of OOP concepts including Encapsulation Bundling data with methods that operate on the data. Inheritance Creating new classes from existing ones to promote code reuse. Polymorphism Allowing objects to be treated as instances of their parent class. Abstraction Hiding complex implementation details and showing only the necessary features. Thorough knowledge of coding principles and guidelines such as: SOLID Principles Ensuring software design is understandable flexible and maintainable. DRY (Dont Repeat Yourself) Reducing repetition of code patterns. PEP 8 Following Python style guide for writing readable code. Experience with cloud platforms (Azure AWS GCP). Familiarity with DevOps practices and tools. Experience with version control systems particularly Git. Proficiency in AI/ML services including NLP Generative AI Vector Search and LLMs. Strong skills in code review and ensuring code quality.

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AIML Data Scientist