AI Developer

Core KRAs (Key Result Areas)

• Reduction of Manual Effort:
  Design AI solutions that significantly reduce human dependency in CRM and business workflows.

• CRM Automation & Intelligence:
  Implement AI-driven automation for lead management, follow-ups, customer segmentation, ticket handling, and reporting within the CRM.

• Operational Process Automation:
  Identify repetitive, rule-based, or decision-heavy business processes and automate them using AI, ML models, and RPA where applicable.

• Decision Support Systems:
  Develop predictive and prescriptive models to assist business decisions such as lead scoring, demand forecasting, customer behavior analysis, and churn prediction.

• Accuracy & Efficiency Improvement:
  Improve operational accuracy, reduce human error, and enhance speed of execution through AI-based systems.

• Integration & Scalability:
  Ensure seamless integration of AI solutions with existing CRM, ERP, and internal tools, while maintaining scalability and security.

Key Responsibilities

• Analyze existing CRM and business operations to identify automation opportunities.

• Design and develop AI/ML models for process automation and optimization.

• Build intelligent workflows using NLP, predictive analytics, and recommendation systems.

• Automate data entry, validation, tagging, classification, and reporting processes.

• Monitor AI model performance and continuously improve accuracy and effectiveness.

• Collaborate with operations, sales, marketing, and support teams to align AI solutions with business needs.

• Ensure compliance with data privacy, security, and ethical AI standards.

• Maintain proper documentation of AI systems, workflows, and integrations.

Required Skills & Qualifications

Technical Skills

• Strong experience in Python, AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).

• Hands-on experience with CRM systems (Salesforce, Zoho, HubSpot, or similar).

• Knowledge of NLP, chatbots, workflow automation, and predictive analytics.

• Experience with API integrations, databases, and cloud platforms (AWS, GCP, Azure).

• Familiarity with RPA tools is an added advantage.
  
   

  Why Join Us

• Opportunity to lead AI-driven transformation across core business operations.

• High ownership role with direct impact on efficiency and scalability.

• Collaborative environment focused on innovation and continuous improvement.