AI Business Innovator

1 day ago

Dindigul, Tamil Nadu, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Senior AI Transformation Specialist

Experience:

We are seeking a seasoned professional with 3+ years of experience in AI/data transformation roles at consulting or technology services companies.

The ideal candidate will have:

  • Proven experience in engaging enterprise clients and leading AI strategy and execution;
  • Strong knowledge of data engineering, cloud data lakes, and modern AI/ML development workflows;
  • Hands-on experience with Python, SQL, and ML frameworks like scikit-learn, TensorFlow, or PyTorch;
  • Familiarity with LLMs, AI agent frameworks (e.g., LangChain, RAG), and vector databases (e.g., FAISS, Qdrant);
  • Experience with cloud platforms like Azure, AWS, or GCP;
  • Strong understanding of data security and regulatory compliance in solution design;
  • Excellent communication and stakeholder management skills.

Key Responsibilities:

  • Engage directly with customers to understand their business goals, current challenges, and workflow gaps;
  • Conduct detailed discovery sessions to assess existing data infrastructure, sources, and readiness for AI;
  • Identify AI opportunities and recommend tailored solutions aligned with the customer's use case;
  • Design scalable data pipelines and AI-ready data layers while ensuring data quality and integrity;
  • Develop and deploy AI/ML models and intelligent agents integrated with business operations;
  • Ensure all solutions align with customers' data security, privacy, and compliance requirements;
  • Collaborate with internal teams to ensure smooth delivery, adoption, and long-term success of AI solutions.

About the Role:

The Senior AI Transformation Specialist will deliver end-to-end AI transformation starting from AI readiness assessments and data strategy to model development, intelligent agent deployment, and automation. Strong leadership skills, excellent communication, and effective collaboration with internal teams and external stakeholders are required.

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