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Job Description
Acryl Data is seeking an experienced AI Technical Lead to spearhead its AI initiatives within DataHub, focusing on intelligent metadata management and shaping its AI infrastructure strategy. This role combines hands-on technical leadership in implementing AI-powered features with strategic thinking about how enterprises deploy and manage AI systems at scale. He/She will work at the intersection of data catalog systems and modern AI infrastructure, helping organizations navigate the complexities of enterprise AI deployment while ensuring robust governance and efficiency.Role involves:- Leading the technical implementation of AI-powered features in DataHub
- Architecting and implementing scalable ML pipelines
- Designing and implementing systems for model monitoring
- Shaping the metadata framework to support enterprise AI systems
- Defining standards for capturing and managing AI-related metadata
- Developing best practices for AI observability and governance
- Leading architectural decisions for AI systems integration
- Mentoring team members on ML engineering best practices
- Collaborating with product management to define AI feature roadmap
- Working with customers to understand their AI infrastructure needs
- 8+ years of software engineering experience, with 4+ years in ML/AI systems
- Strong experience with modern ML frameworks (PyTorch, TensorFlow) and MLOps tools
- Deep understanding of LLM deployment, fine-tuning, and operational considerations
- Experience with AI governance, including model monitoring, bias detection, and fairness metrics
- Strong background in data privacy and security, particularly in AI contexts
- Experience with enterprise AI deployment and infrastructure management
- Proficiency in Python and modern AI development tools
- Understanding of vector databases, embedding systems, and semantic search
- Experience with distributed systems and scalable architecture
- Competitive salary
- Equity
- Medical, dental, and vision insurance
