Ai Ml Engineer

AI & Generative AI

• ChatGPT / Claude / Gemini or equivalent LLM tools
• Prompt Engineering
• Generative AI applications
• AI Agents / workflow automation
• RAG / knowledge-base applications
• Basic understanding of LLM APIs

Programming

• Python preferably strong
• SQL
• API integration
• Basic JavaScript/automation knowledge is an advantage

Data

• Excel – Advanced
• Power BI / dashboards
• Data cleaning and analysis
• Data visualization
• Basic statistics

Automation

• Power Automate / Make / Zapier or similar
• Automated reporting
• Automated email workflows
• CRM/data automation
• Document processing

AI/ML Fundamentals

• Machine Learning basics
• NLP (Natural Language Processing)
• Classification/regression
• Model evaluation
• Basic understanding of neural networks

Current AI hiring continues to emphasize fundamentals such as Python, ML, SQL (Structured Query Language) and data analysis alongside GenAI, rather than GenAI alone.

5. Most Important Part for AVA — Business Application

I would make these the core responsibilities.

Sales & Business Development

The candidate should be able to:

• Analyse customer and sales data.
• Identify potential customers using AI/data.
• Automate lead-generation activities.
• Analyse India/export market opportunities.
• Identify potential distributors/importers.
• Prepare customer profiles automatically.
• Develop AI-assisted sales reports.
• Analyse competitor information.
• Automate follow-up reminders.
• Build sales dashboards.
• Extract useful information from large datasets.