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Senior AI/ML Developer

Apptoza Inc — Canada · Posted ~2 hours ago

Senior Contract

Skills

Python AI/ML LLM development NLP RAG MLOps machine learning pipelines CI/CD cloud deployment LangChain Hugging Face OpenAI APIs AWS Azure GCP

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Summary ✨ AI‑Generated

A senior AI engineer will develop, deploy, and optimize machine learning and LLM solutions for production use cases. Responsibilities include Python-based AI applications, RAG pipelines, NLP, automated deployment, cloud operations, model evaluation, monitoring, and collaboration with data and engineering teams.

Highlights

Senior AI engineering role spanning model development, LLM applications, RAG, NLP, MLOps, cloud deployment, production monitoring, and model evaluation across the full AI lifecycle.

Description

Role : Senior AI Developer – AI/ML, Python, LangChain, RAG & NLP Location : Toronto ,ON Duration : Contract Role Summary: We are looking for a Senior AI Engineer to develop, deploy, and optimize AI/ML solutions, including LLM and NLP applications. The role involves model development, RAG pipelines, MLOps, cloud deployment, and production support. Key Responsibilities: Develop and optimize ML/AI models for business use cases.Build LLM applications using Python, LangChain, RAG, Hugging Face, and OpenAI APIs.Develop NLP solutions for classification, summarization, and entity recognition.Build scalable ML/data pipelines and automate model deployment using CI/CD.Deploy and monitor AI solutions across AWS, Azure, or GCP.Evaluate LLM/model performance, accuracy, fairness, and model drift.Implement monitoring, logging, and SRE practices for production applications.Collaborate with Data Scientists, Engineers, Product Owners, and QA teams in Agile environments.Maintain technical documentation and stay current with emerging AI technologies.Must-Have Skills: 2+ years hands-on AI/ML experienceStrong Python; Java/C++ is a plusMachine Learning & advanced AI techniquesLLMs, RAG, LangChain, Hugging Face, OpenAI APIsNLPLLM/model evaluation metricsMLOps, CI/CD, ML pipelinesAWS/Azure/GCP experienceProduction monitoring and troubleshooting