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Key Responsibilities

• AI System Development: Design, test, and deploy practical AI and machine learning applications tailored to company goals. [1, 2]
• Generative AI & LLM Integration: Implement Large Language Models (LLMs), retrieval-augmented generation (RAG), and conversational bots to streamline internal tasks. [1, 2]
• Workflow Automation: Identify manual business processes and build AI-driven automation pipelines.
• Model Optimization: Fine-tune existing algorithms and monitor post-deployment performance to ensure high accuracy and cost efficiency. [1]
• Cross-Functional Collaboration: Partner with data engineering, product, and legal teams to ensure data quality, security, and compliance. [1, 2]
• Internal Training: Educate non-technical teams on AI tools, capabilities, and best practices (read more about the career trajectory at Taggd)
• Key Performance Indicators (KPIs)
• Successful deployment and uptime of AI tools.
• Measurable time saved or productivity increased via automation.
• Accuracy, reliability, and adoption rate of internal AI models

Pay: ₹20,000.00 - ₹25,000.00 per month

Work Location: In person