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AI Engineer I

AI Engineer I

Adobe

2 - 5 years

16 - 20 Lacs

Bengaluru

Posted:3 hours ago| Platform:

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Skills Required

GCP Postgresql MySQL Machine learning Javascript Adobe Cosmos Data warehousing SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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

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Adobe

Software Development

San Jose CA

10001 Employees

555 Jobs

Key People

Shantanu Narayen

Chairman, President and CEO
Dan Darnell

Executive Vice President, Finance
Megan Buntain

Senior Vice President, Global Customer Care
Anil Chakravarthy

Executive Vice President and General Manager, Digital Experience
John Goodman

Head of Product Management, Experience Cloud

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AI Engineer I