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

AceStack1 day ago
Toronto, Ontario, Canada
$120,000/year
Senior Level
Full-Time

About the role

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"

About AceStack

Software Development
51-200 employees

Acestack LLP is a global technology, staffing, and consulting company with operations in India supporting clients across the nited States and international markets.

We specialize in IT Staffing, Healthcare Staffing, Technology Consulting, Product Development, and Workforce Solutions, helping organizations scale their teams and accelerate business growth through innovative and technology-driven services.

With strong delivery capabilities and industry expertise, Acestack works with clients across multiple sectors by providing highly skilled professionals, project support, and customized business solutions.

Our expertise includes:

🔹 IT Staffing & Workforce Solutions 🔹 Healthcare Staffing Services 🔹 Technology Consulting & Software Development 🔹 AI & Automation Solutions 🔹 Salesforce Services & Metadata Solutions 🔹 HRMS, ATS & Workforce Management Platforms 🔹 Vendor & Client Management Solutions (VMS) 🔹 Offshore Delivery & Global Talent Support

At Acestack, innovation is at the core of what we do. We continuously build AI-driven tools and proprietary products to improve recruitment, workforce management, business operations, and digital transformation initiatives.

Our product portfolio includes proprietary solutions such as HRMS platforms, Applicant Tracking Systems (ATS), Vendor Management Systems (VMS), and Salesforce Metadata products, designed to streamline operations and improve efficiency.

With a strong presence in India and extensive collaboration with U.S.-based clients, Acestack LLP combines global delivery capabilities, technology expertise, and talent solutions to create long-term value for organizations.

Global Delivery | Technology Solutions | Staffing Excellence | Innovation Driven

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