Business Analyst - Artificial Intelligence

Business Analyst - Artificial Intelligence

Location: Hyderabad

Timings: 12PM - 9PM

Basic Knowledge of AI/ML:

Before delving into Business Analysis tasks, it's crucial for the BA to have a fundamental understanding of AI and ML components. The ability to comprehend the problem-solving capabilities of ML and AI is essential. When faced with a requirement for predicting future trends for a specific product, a BA should:

Functional and Non-Functional Requirements:

BA's involvement in highly technical AI/ML projects requires meticulous attention to both functional and non-functional requirements:

Functional Requirements:

· Leverage expertise to gather and articulate business needs related to AI functionalities, like predictive modeling for future trends.

· Collaborate with data scientists to define requirements for model training, testing, and deployment.

Non-Functional Requirements:

· Document non-functional requirements precisely, considering the technical nature of AI/ML projects.

· Ensure clear communication of performance, scalability, and security requirements.

Data Gathering and Analysis:

· Utilize domain expertise to gather relevant data for AI projects.

· Analyze data for meaningful insights and present it as part of functional requirements, demonstrating an understanding of its impact on AI model performance.

Technical Implementation:

· Work closely with the AI development team, utilizing technical skills in areas like Python programming and familiarity with popular ML frameworks (e.g., TensorFlow, PyTorch).

· Collaborate on the implementation of ML models and contribute insights to Proof of Concepts.

· By integrating these technical skills into the BA's responsibilities, the role becomes well-rounded, covering both the business and technical aspects essential for successful AI and ML projects. This approach ensures a comprehensive understanding of requirements and effective communication between business stakeholders and the technical team.