Deep understanding of Generative AI fundamentals and transformer-based architectures.
Experience working with LLMs, including model inference, fine-tuning, and optimization.
Familiarity with LangChain, Hugging Face , or equivalent GenAI tools and APIs.
Practical experience with vector databases and RAG pipelines.
Exposure to MLOps practices including containerization, CI/CD for ML, and model monitoring.
Awareness of AI ethics, bias mitigation strategies, and responsible AI development.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
RESPONSIBILITIES:
Writing and reviewing great quality code
Understanding functional requirements thoroughly and analyzing the client s needs in the context of the project
Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it
Determining and implementing design methodologies and tool sets
Enabling application development by coordinating requirements, schedules, and activities.
Being able to lead/support UAT and production roll outs
Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it
Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
Giving constructive feedback to the team members and setting clear expectations.
Helping the team in troubleshooting and resolving of complex bugs
Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken
Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Bachelor s or master s degree in computer science, Information Technology, or a related field.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full time