Associate Technical Architect - ML
New
Q
QuantiphiArtificial Intelligence
Remote (Canada)Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- AWSPythonNLPPrompt EngineeringLLMMLOpsGenerative AILangChain
Requirements
- 8+ years of relevant hands-on technical experience implementing and developing cloud ML solutions on AWS.
- Hands-on experience with AWS Machine Learning services, including SageMaker (data sources, training jobs, real-time/batch inference, and processing jobs).
- Experience developing applications using LLMs with Langchain.
- Experience using GenAI frameworks such as VertexAI, OpenAI, and AWS Bedrock.
- Hands-on experience fine-tuning large language models (LLM) and Generative AI (GAI), specifically LLama2.
- Hands-on experience with Retrieval Augmented Generation (RAG) architecture and vector indexing (e.g., Opensearch, Elasticsearch).
- Deep understanding of NLP techniques, deep learning concepts, transformers, BERT, and attention models.
- Experience with workflow orchestration tools such as Airflow, StepFunctions, SageMaker Pipelines, or Kubeflow.
- Strong familiarity with higher-level trends in LLMs and open-source platforms.
- Ability to design comprehensive software architecture.
- Knowledge of various machine learning techniques including supervised and unsupervised learning.
Responsibilities
- Design and develop advanced machine learning models and algorithms to solve complex business problems.
- Optimize and deploy models on AWS infrastructure to ensure scalability and reliability.
- Engineer and optimize prompts to enhance LLM performance on specific tasks.
- Evaluate LLM zero-shot and few-shot capabilities, fine-tuning hyperparameters and ensuring task generalization.
- Collaborate with ML and integration engineers to deliver contextually appropriate responses in web applications.
- Implement and manage MLOps principles and best practices for GenAI models.
- Design end-to-end solution architecture for model training, deployment, and retraining using AWS services.
- Collaborate with cross-functional teams including developers, QA, and project managers.
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