AI Platform Engineer
AI Platform Engineer
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Job Description
Our Company
Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.
Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization and we know the next big idea could be yours!
Key Responsibilities
Platform Development and Evangelism:
- Build scalable AI platforms that are customer-facing.
- Evangelize the platform with customers and internal stakeholders.
- Ensure platform scalability reliability and performance to meet business needs.
Machine Learning Pipeline Design:
- Design ML pipelines for experiment management model management feature management and model retraining.
- Implement A/B testing of models.
- Design APIs for model inferencing at scale.
- Proven expertise with MLflow SageMaker Vertex AI and Azure AI.
LLM Serving and GPU Architecture:
- Serve as an SME in LLM serving paradigms.
- Possess deep knowledge of GPU architectures.
- Expertise in distributed training and serving of large language models.
- Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM.
Model Fine-Tuning and Optimization:
- Demonstrate proven expertise in model fine-tuning and optimization techniques.
- Achieve better latencies and accuracies in model results.
- Reduce training and resource requirements for fine-tuning LLM and LVM models.
LLM Models and Use Cases:
- Have extensive knowledge of different LLM models.
- Provide insights on the applicability of each model based on use cases.
- Proven experience in delivering end-to-end solutions from engineering to production for specific customer use cases.
DevOps and LLMOps Proficiency:
- Proven expertise in DevOps and LLMOps practices.
- Knowledgeable in Kubernetes Docker and container orchestration.
- Deep understanding of LLM orchestration frameworks like Flowise Langflow and Langgraph.
Skill Matrix
LLM: Hugging Face OSS LLMs GPT Gemini Claude Mixtral Llama
LLM Ops: ML Flow Langchain Langraph LangFlow Flowise LLamaIndex SageMaker AWS Bedrock Vertex AI Azure AI
Databases/Datawarehouse: DynamoDB Cosmos MongoDB RDS MySQL PostGreSQL Aurora Spanner Google BigQuery.
Cloud Knowledge: AWS/Azure/GCP
Dev Ops (Knowledge): Kubernetes Docker FluentD Kibana Grafana Prometheus
Cloud Certifications (Bonus): AWS Professional Solution Architect AWS Machine Learning Specialty Azure Solutions Architect Expert
Proficient in Python SQL Javascript
Adobe is proud to be anEqual Employment Opportunityemployer. We do not discriminate based on gender race or color ethnicity or national origin age disability religion sexual orientation gender identity or expression veteran status or any other applicable characteristics protected by law.Learn more.
Adobe aims to make accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process emailor call .
Employment Type
Full-Time
