TensorOps is looking for a Mid/Senior Machine Learning Engineer to work remotely, focusing on creating advanced AI solutions. Engage with global clients while pushing the boundaries of ML technologies.
You will be instrumental in developing production-grade ML and fine-tuned LLM systems, leveraging your expertise to ensure technical delivery from architecture to deployment. This role requires collaborative work with client teams and provides opportunities for mentorship and setting best practices in a supportive environment. Bring your experience and curiosity to shape the future of AI applications.
Key Responsibilities:
• Build ML and LLM systems tailored for enterprise needs
• Lead complete technical projects from inception to deployment




• Collaborate with clients to define shippable solutions
• Guide junior engineers through mentoring and code reviews
• Participate in external representation of TensorOps at events
Requirements:
• 2+ years for Mid, 5+ years for Senior levels
• Proficiency in Python with clean code practices
• Experience in ML model optimization and deployment
• Familiarity with GenAI tools and ML Ops
• Solid skills in cloud deployments on AWS, GCP, Azure
Become part of TensorOps and contribute to pioneering AI solutions that reach millions globally.
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📌 Mid/Senior Machine Learning Engineer - Remote (Toronto)
🏢 TensorOps
📍 Toronto