Manager in Oracle data and analytics at PwC analysing complex data systems and encouraging innovation. Leading teams and mentoring junior staff while driving project success.
About the role
- AI Engineer responsible for developing AI agents, tools, and machine learning models at IPFS. Focused on enhancing data accessibility and driving innovation across the IPFS ecosystem.
Responsibilities
- Design and Develop AI models and algorithms from scratch (test, deploy, and maintain AI systems)
- Work on functional design, process design ( including scenario design, flow mapping), prototyping, testing, training, and defining support procedures.
- Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation.
- Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction.
- Manage the data flow and infrastructure for effective AI deployment
- Stay current with AI trends and suggest improvements to existing systems and workflows (conducting assessments of the AI and automation market and competitor landscape).
- Collecting and analyzing large amounts of data/programming AI software to utilize large amounts of data
- Collaborate with data scientists and other engineers to integrate AI into broader system architectures
- Advise executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
Requirements
- Experience with innovation accelerators
- Experience with cloud environments
- MLOps tools: Experience using tools for lifecycle management of machine learning models.
- Docker: Experience in using Docker to create reproducible and scalable environments.
- Machine Learning Models: Advanced knowledge in Machine Learning models and Large Language Models (LLM), using langchain or a similar tool.
- LLM Implementation: Experience in implementing LLMs using vector bases and Retrieval-Augmented Generation (RAG), as well as tuning models.
- Using GPTs, Llama, or any other LLM
- Solution Architecture Validation: Ability to perform solution architecture validations for LLMs.
- GenAIOps: Experience in putting Generative AI (GENAI) models into production and providing support to them.
- Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns.
- Experience in REST API development, NoSQL database design, and RDBMS design and optimizations.
Job title
Job type
Experience level
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Not specified
Degree requirement
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