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Posted on 2026/01/09

ML Engineer/Gen AI

BULLIT SERVICES LIMITED

Toronto, ON

Full-time

Full Description

Tips:

Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.

Responsibilities

Total Experience: 6 years

Required Skill Sets:

• We are seeking a talented GenAI ML Engineer to develop and deploy cutting-edge generative AI solutions and large language models.

• This role focuses on building innovative AI applications, fine-tuning LLMs, and implementing machine learning pipelines to solve complex business problems using the latest advances in generative artificial intelligence.

• Generative AI Development Design and implement generative AI models for text, code, and multimodal applications

• LLM Engineering Fine-tune, optimize, and deploy large language models (GPT, Claude, Llama, etc.)

• Model Training Develop training pipelines for custom generative models and foundation model adaptation

• Python Development Build robust ML applications, APIs, and services using Python and ML frameworks

• Prompt Engineering Create and optimize prompts for various LLM applications and use cases

• Model Evaluation Implement evaluation frameworks for generative AI model performance and safety

• Production Deployment Deploy and monitor ML models in production environments with proper scaling

• Research Innovation Stay current with latest GenAI research and implement state-of-the-art techniques

• Data Pipeline Management Build data preprocessing and feature engineering pipelines for ML workflows

• Collaboration Work closely with product, engineering, and data science teams to deliver AI solutions

• Machine Learning Deep expertise in ML algorithms, neural networks, and model optimization

• Generative AI Hands-on experience with GANs, VAEs, diffusion models, and transformer architectures

• Large Language Models Proficiency in working with LLMs, fine-tuning, and deployment strategies

• Python Expert-level Python programming with ML libraries (PyTorch, TensorFlow, Hugging Face, Lang Chain)

• MLOps Experience with model versioning, monitoring, and production deployment

• Cloud Platforms Knowledge of AWS Azure GCP ML services and GPU computing

Desired Skill Set:

• ML , GenAI , LLM , Python

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