
AI-Driven Business Growth Specialist
1 week ago
Key Responsibilities:
- Build innovative AI-enabled solutions using online and offline language models tailored to deliver real-time operational insights.
Deploy agentic AI workflows and use cases using frameworks like LangGraph, Crew AI etc. to drive business growth.
Key Technologies:
- Apply natural language processing (NLP), predictive modelling and optimization techniques to develop scalable machine learning solutions.
Integrate enterprise knowledge bases using vector databases and retrieval augmented systems to improve data accuracy.
Required Skills & Qualifications:
- 3–5 years of experience in applied data science or AI roles.
- Experience working in domains such as genomics, finance, or healthcare.
- Practical experience with gen AI (LLMs, RAG, vector databases), NLP and building scalable ML solutions.
Benefits:
- Exposure to cloud-based ML platforms like Azure ML, AWS SageMaker or Google Vertex AI.
- Data visualization using Matplotlib, Seaborn, Plotly; experience with Power BI is a plus.
Others:
- Ai-First Thinking – Passion for leveraging AI to solve business problems.
- Problem-Solving – Think beyond the obvious to unlock AI-driven opportunities.
- Business Impact – Focus on measurable outcomes and real-world adoption of AI.
- Continuous Learning – Stay updated with the latest AI trends, research and best practices.
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