AI Expert

BMC

Pune 3 Years Exp Posted 480d ago

Key Skills & Responsibilities

Experience in LLMs, NLP, AI Chatbots, and AI process automation
Experience working with AI engineers, data scientists, and stakeholders to develop AI chatbots, virtual assistants, and automation workflows and deliver AI-driven insights
Strong communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.
Ability to work independently as well as part of a team in a fast-paced environment.
Be able to communicate and present effectively to stakeholders.
Gather and document functional and technical requirements for AI-powered automation
Stay up to date with advancements in AI, machine learning, Agents, and data analytics techniques to continuously improve processes and solutions.
Establish best practices, standards, and methodologies for data science and AI projects.
Drive the adoption of cutting-edge technologies and methodologies in the field of AI and machine learning
Change Management: strong ability to influence and make a case for change, to individual contributors and leaders, and make change stick.
Value Realization: be able to show sustained value realization and business results

Technical skills:

Proficiency in AI/GenAI technologies and frameworks.
Experience with machine learning models and MLOps practices.
Familiarity with OpenAI and its applications in generative AI.
Strong programming skills in Python, R, or Java.
Experience of a modern Tech stack, and the force.com platform with tools such as Eloqua, Gainsight, SFDC, Certinia, and Microsoft automation platform

Preferred Experience

3-5+ years of experience as a Business Analyst/Technical BA in Conversational AI, Generative AI or AI-driven automation projects
Deep understanding of AI technologies and their business applications
Knowledge of data privacy regulations and ethical considerations in AI.
Strong problem-solving skills and ability to communicate insights effectively.
Experience working with cross-functional teams, including business stakeholders, IT, and data engineers.
Will have worked in a global organization, spanning time zones and geographies