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