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AI Data Engineer
2 weeks ago
This is a customer-facing, hands-on leadership role responsible for delivering end-to-end AI transformation starting from AI readiness assessments and data strategy to model development, intelligent agent deployment, and automation. The ideal candidate will have consulting experience, excellent communication skills, and a strong background in data engineering and applied AI.
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.
· Communicate technical solutions clearly to both technical and non-technical stakeholders.
3+ years of experience in AI/data transformation roles at a consulting or technology services company.
· 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., Experience with cloud platforms like Azure, AWS, or GCP.
· Strong understanding of data security and regulatory compliance in solution design.
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