Data Engineering Lead for AI Solutions
3 days ago
We are seeking a highly skilled Data Engineering Lead to spearhead the design, development, and implementation of cutting-edge AI-driven solutions for internal use and potential partner or customer applications at Black Box.
This role involves architecting scalable, secure, and high-performance AI solutions using Azure's advanced AI/ML tools, contributing to the overall AI strategy of the organization, and collaborating with cross-functional teams to ensure seamless integration of AI solutions into our existing infrastructure.
Key Responsibilities:- Serve as the technical authority for designing and implementing data engineering frameworks within the Microsoft Azure ecosystem.
- Lead the end-to-end architecture and development of internal AI projects, leveraging Azure AI services, including Azure Machine Learning, Cognitive Services, Azure Synapse, and Azure Kubernetes Service (AKS).
- Develop and maintain large-scale data pipelines, ensuring efficient data processing, and optimizing business processes through data-driven insights.
Requirements:
- 10+ years of experience in software engineering, data engineering, and AI architecture design, with at least 5 years of experience focused on AI/ML in the Microsoft Azure ecosystem.
- Proficiency with Azure Machine Learning, Azure Cognitive Services, Azure Synapse, AKS, and other Azure-based AI tools or equivalent tools in AWS (SageMaker, Lambda) and Google Cloud (Vertex AI, AI Platform).
- Strong expertise in machine learning frameworks such as PyTorch, TensorFlow, and hands-on experience with Generative AI models (e.g., GPT, BERT, DALL-E).
Estimated Salary Range: ₹18,00,000 - ₹28,00,000 per annum, depending on the candidate's experience and qualifications.
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