Software Development Specialist- Gen AI

Skills:
PyTorch, Natural Language Processing (NLP), Machine Learning, API Integration, Python Programming, Gen AI, Python, aws,

JOB Description

Strong proficiency in Python, with a good understanding of its ecosystem and best practices.

Proficiency with AWS and cloud technologies.

+Experience of infrastructure-as-code tools like Terraform

Knowledge with Visual Studio Code and other modern development environments

Solid understanding of data structures, algorithms, and software design patterns.

Familiarity with Linux/Unix and Windows operating systems.

Experience with software development methodologies (Agile, Waterfall, Lean).

Understanding of Generative AI concepts, including Large Language Models (LLMs) and their applications.

Proficiency with version control systems, particularly Git.

Good communication skills, able to explain technical concepts to team members and stakeholders.

Knowledge of relational and non-relational databases, SQL, and handling unstructured data.

Education: Bachelor's degree in computer science, Information Systems, Mathematics, or equivalent work experience.

Experience Required: Approximately 6 years of software development experience.

Role And Responsibilities

Develop and implement components of Generative AI applications, ensuring code quality, performance, and reliability.

Participate in code reviews and contribute to the team's adoption of best practices in software development.

Collaborate with team members to implement technical requirements and contribute to technical solutions.

Assist in the collection, preprocessing, and curation of datasets for training generative AI models.

Contribute to gathering user feedback and participate in design iterations to enhance usability and satisfaction.

Maintain high code standards through peer code reviews and continuous learning.

Work on solving complex problems faced by the team, under the guidance of senior team members.

Collaborate effectively within geographically dispersed teams.

Participate in technical discussions with team members and contribute to documentation efforts.