Associate Technical Architect – ML

🕒 September 1

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🔙 Backend Engineer

👻 Ghost score 26%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Quantiphi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Series A on 2019-12

Consulting • Healthcare • Logistics

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• Design and develop advanced machine learning models and algorithms to solve complex business problems • Optimize and deploy machine learning models on AWS infrastructure • Ensure model scalability and reliability • Engineer prompts and optimize few-shot techniques to improve LLM performance • Evaluate LLM zero-shot and few-shot capabilities • Fine-tune hyperparameters and assess task generalization and model interpretability • Collaborate with ML and integration engineers to deliver contextually appropriate responses in user-friendly web applications • Implement and manage MLOps principles and best practices for GenAI models • Design software architecture and end-to-end architectures for model training, deployment, and retraining • Collaborate with developers, QA, project managers, and other stakeholders to understand requirements and implement solutions

🎯 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 • Proven experience using AWS SageMaker with different data sources, training jobs, real-time and batch inference, and processing jobs • Experience developing applications using LLMs with LangChain • Experience using GenAI frameworks such as Vertex AI, OpenAI, and AWS Bedrock • Hands-on experience fine-tuning LLMs and Generative AI, specifically Llama 2 • Hands-on experience with RAG architecture and vector indexing using OpenSearch or Elasticsearch • Strong familiarity with LLM trends and open-source platforms • Experience with deep learning concepts, including Transformers, BERT, and attention models • Experience with prompt engineering and few-shot techniques • Experience evaluating and optimizing LLMs, including zero-shot and few-shot capabilities and hyperparameter fine-tuning • Experience implementing and managing MLOps principles and best practices for GenAI models • Thorough understanding of NLP techniques for text representation and modeling • Ability to design software architecture • Experience with at least one workflow orchestration tool: Airflow, Step Functions, SageMaker Pipelines, or Kubeflow • Knowledge of machine learning techniques including supervised and unsupervised learning, clustering, decision trees, and artificial neural networks • Ability to create end-to-end solution architecture for model training, deployment, and retraining using AWS services such as SageMaker and Lambda • Ability to collaborate with developers, QA, project managers, and other stakeholders • Remote work in Canada

🏖️ Benefits

• Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents • Gain hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling • Learning and growth culture • Great Place to Work-certified employer