Computational Science Specialist - AI / ML

Responsibilities:
Providing technical expertise and guidance to the team.
Delivery of AI solutions with minimum or zero red flags.
Understanding of complex business processes and suggesting AI-based solutions that can reduce AHT and overall process time.
Will be involved in managing different cross-functional stakeholders.
Should be involved in driving goals and objectives set by the leadership.
Requirements:
Should have exposure working in an Agile development setup while flagging concerns at the right time.
Requires a transformation mindset; convert ideas to solution which are industry-standard compliant.
Should be aware of the best practices of quality control in and outside your team, which would involve Unit Testing, Integration Testing, User Acceptance Testing, and Stress/Performance Testing.
Should be well-versed in documentation, storytelling, communication and presentation skills.
Good to Have:
Python (Programming Language)
Machine Learning
Natural Language Processing (NLP)
DevOps
Cloud Technologies
Deep Learning
GenAI / LLM / Prompt Engineering
Agile process
Good understanding of SQL and No-SQL databases
Passion for staying current with emerging technologies in AI and ML

Experience
5-8 yrs