Technical Lead in AI Architecture
The role of a Senior Data Scientist involves driving the technical vision for data science architecture and development across various projects.
Key Responsibilities:
* Develop and oversee AI solutions, focusing on traditional and governed approaches, particularly in mining domains.
* Collaborate with business analysts and stakeholders to translate business needs into scalable, production-ready architectures.
* Establish and maintain architectural standards for model delivery, documentation, and deployment, including integration with cloud services like Azure Open AI and Azure AI search.
* Leverage and implement generative AI models, algorithms, and methodologies to enhance product quality, applications, and systems.
* Design, build, and implement robust data science frameworks and architectures.
* Analyze and make informed technological choices for AI solutions.
Requirements:
* A minimum of 12-15 years of experience in data science, data engineering, or architecture roles, with at least 3 years in an enterprise architect capacity.
* Proven track record of designing and deploying traditional and generative AI solutions at scale in production environments.
* Strong understanding of data governance, model lifecycle management, and enterprise integration.
* Proficiency in Python, SQL, and ML frameworks such as TensorFlow and PyTorch.
* Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes.
Essential Skills:
* Python, R, SQL, AI/ML, Cloud Platforms (Azure), Azure OpenAI, Azure AI Search, and other relevant AI services.
* Ability to set up and manage DevOps CI/CD pipelines for Azure Web Apps and backend services.
* Understanding of Azure resource groups, virtual networks, private endpoints, and core Azure services relevant to the technical stack.
* Experience in generative AI technologies and frameworks.
About This Role
This is an exciting opportunity to join our team as a Technical Lead in AI Architecture. You will be responsible for driving the technical vision for data science architecture and development across various projects.
What We Offer
We offer a competitive salary package, opportunities for career growth and professional development, and a dynamic work environment.