Job description
What youll do
- Architect and deliver AI systems endtoend Recommend and develop comprehensive systems and frameworks for AI applications and products balancing speed to value with reliability and maintainability
- Shape cloud architecture for complex AI platforms Contribute to designing and implementing cloud architecture for large multifaceted AI systems compute storage security deployment monitoring
- Enable robust data foundations Assist in the design and scaffolding of scalable data pipelines that power advanced AI systems and enable model lifecycle improvements
- Operationalize AI via services and APIs Define specifications for lowlatency APIsservices that deploy models and integrate AI into enterprise applications
- Build monitoring and reliability into production Develop code and approaches for monitoring models and AI systems to ensure consistent performance accuracy and reliability in production
- Driving engineering excellence Participate in principled agilelike development practices ensure peer review for all assigned work and conduct reviews for others as needed
- Document with production discipline Create and maintain thorough documentation aligned with team procedures SDLC expectations and corporate policies
Preferred Skills
- Experience building AI solutions using cloud platforms and services eg Azure AI services or similar in a highly regulated environment healthcare experience preferred
- Experience successfully productionizing AI models including scalable pipelines and robust monitoring systems
- Strong background developing deep learning models using modern frameworks eg TensorFlow PyTorch MLX
- Experience with software design patterns microservices distributed systems and container orchestration
- Knowledge of ethical AI practices explainability fairness bias mitigation and applying them in real solutions
- Experience implementing advanced LLM solution patterns eg retrievalaugmented generation and structured reasoning approaches and setting team best practices through reviews and standards
Knowledge Skills and Abilities
- Proven experience developing deep learning architectures eg transformers CNNs GANs LSTMs GNNs autoencoders diffusion models NODEs
- Proven ability to debug and optimize AI systems including performance analysis and tuning approaches
- Strong software engineering skills and the ability to build secure stable systems at scale
- Expertise in AI system design and deployment patterns pipelines lowlatency services monitoring
- Strong communication and stakeholder influenceable to explain technical tradeoffs clearly to nontechnical audiences
- Mentorship and leadership mindset with a commitment to knowledge sharing and raising team capability
Skills
Mandatory Skills : Azure AI, Python
Required Skills :
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No