Gen AIML Developer Python, LLM, MLOps, Cloud

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profile Job Location:

Toronto - Canada

profile Monthly Salary: Not Disclosed
profile Experience Required: 7years
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Role Overview

We are seeking a talented GenAI ML Engineer to develop and deploy cutting-edge generative AI solutions. This role focuses on building innovative applications fine-tuning LLMs and implementing robust machine learning pipelines to solve complex business problems using state-of-the-art advances in artificial intelligence.


Key Responsibilities

  • Generative AI & LLM Engineering: Design fine-tune and optimize large language models (GPT Claude Llama) for text code and multimodal applications.

  • Model Training & Evaluation: Develop custom training pipelines for foundation model adaptation and implement frameworks to ensure model performance and safety.

  • Application Development: Build robust ML applications APIs and services using Python and frameworks like LangChain or LlamaIndex.

  • Prompt Engineering: Create and optimize sophisticated prompts to drive various LLM use cases.

  • Production Deployment (MLOps): Deploy and monitor models in production environments ensuring proper scaling and GPU utilization.

  • Innovation: Stay current with GenAI research to implement state-of-the-art techniques and feature engineering workflows.

  • Cross-functional Collaboration: Work with product and data science teams to bridge the gap between AI research and business solutions.

Technical Skills & Qualifications

Core Requirements

  • Education: Masters or PhD in Computer Science Machine Learning AI or a related quantitative field.

  • GenAI Expertise: Hands-on experience with Transformer architectures Diffusion models GANs and VAEs.

  • Python Mastery: Expert-level Python with deep knowledge of PyTorch TensorFlow and Hugging Face.

  • LLM Frameworks: Proficiency in model versioning fine-tuning strategies and deployment using LangChain.

Infrastructure & Math

  • Cloud & MLOps: Knowledge of AWS/Azure/GCP ML services and experience with model monitoring and production scaling.

  • Mathematics: Strong foundation in statistics linear algebra and optimization.

  • Problem Solving: Proven ability to deploy models in production and navigate ambiguous project requirements.



Role OverviewWe are seeking a talented GenAI ML Engineer to develop and deploy cutting-edge generative AI solutions. This role focuses on building innovative applications fine-tuning LLMs and implementing robust machine learning pipelines to solve complex business problems using state-of-the-art adv...
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Company Industry

Business Consulting and Services / Outsourcing and Offshoring Consulting / Telephone Call Centers

Key Skills

  • APIs
  • Docker
  • Jenkins
  • REST
  • Python
  • AWS
  • NoSQL
  • MySQL
  • JavaScript
  • Postgresql
  • Django
  • GIT