Full Time Permanent : GenAI ML Engineer : Toronto, ON (4 Days Onsite )

Job Role : GenAI ML Engineer

Location : Toronto, ON (4 Days Onsite )

Job Type : Full time Permanent

Salary: USD $120,000 a year

Job Description

"Total Experience: 6-8 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"