AI & Automation Specialist

Key Responsibilities:

• AI-Driven Productivity Optimization: Identify and implement AI-powered solutions to automate repetitive processes, improve efficiency, and optimize workflows across teams.
• Automation Strategy & Execution: Develop and execute automation strategies using RPA, AI, and low-code/no-code tools to eliminate bottlenecks in business operations.
• Stakeholder Collaboration: Partner with business leaders, product managers, and technology teams to drive AI transformation initiatives and scale automation impact.
• Change Management & Upskilling: Educate teams on AI-driven automation and facilitate smooth adoption of new processes.
• AI Tool Implementation & Integration: Deploy and manage AI tools such as NLP models, chatbots, document automation, and workflow optimization solutions.
• Process Mapping & Enhancement: Work closely with cross-functional teams to assess pain points, design automation solutions, and implement AI-enabled productivity enhancements.
• 
  Data-Driven Decision-Making: Utilize AI-driven analytics to provide actionable insights, drive continuous improvements, and support strategic decision-making.
• Performance Monitoring & Optimization: Continuously track and refine automation solutions using key performance indicators (KPIs) and AI-driven analytics.

Required Skills:

Technical Skills:

• Familiarity with low-code/no-code automation platforms (Bubble, Zapier AI, Make, Gumloop, n8n).
• Basic working understanding of backend implementation such as API integrations, Python, and JavaScript.
• Familiarity with video editing and graphic editing tools (Heygen, Synthesia)
• Ability to build standalone apps using platforms like Replit and Lovable.
• Hands-on experience in NLP tools, chatbot development, and workflow automation.
• Strong understanding of data analytics & visualization (Power BI, Tableau, Python).

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• Proficiency in AI/ML tools is a plus (TensorFlow, Langgraph, HuggingFace Transformers, etc)
• AI tools for data science productivity is a plus (Cursor, Claude Code, H2O.ai, Windsurf, Copilot etc)

Soft Skills:

• Problem-Solving Mindset: Ability to identify inefficiencies & design AI-driven automation solutions.
• Leadership Skills: Strong ability to influence senior leaders and drive impactful projects.
• Communication & Collaboration: Ability to work with cross-functional teams, influence stakeholders, and drive change.
• Project Management: Experience in implementing AI/automation projects with measurable impact.