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Toronto, Canada Boson AI Full timeAbout The Role We're seeking an experienced Network Engineer to design, build, and optimize the high-performance networking infrastructure powering our AI/ML operations in Toronto. You'll work at the cutting edge of network technology—managing InfiniBand and ultra-high-speed Ethernet fabrics that connect NVIDIA H100 and A100 GPUs, over 20PB of Ceph...
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Network Engineer, AI/ML Infrastructure
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Toronto, Canada Boson AI Full timeBase pay range CA$150,000.00/yr - CA$250,000.00/yr About The Role We're seeking an experienced Network Engineer to design, build, and optimize the high‑performance networking infrastructure powering our AI/ML operations in Toronto. You'll work at the cutting edge of network technology—managing InfiniBand and ultra‑high‑speed Ethernet fabrics that...
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Network Engineer, AI/ML Infrastructure
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Toronto, Canada Boson AI Full timeBase pay range CA$150,000.00/yr - CA$250,000.00/yr About The Role We're seeking an experienced Network Engineer to design, build, and optimize the high‑performance networking infrastructure powering our AI/ML operations in Toronto. You'll work at the cutting edge of network technology—managing InfiniBand and ultra‑high‑speed Ethernet fabrics that...
AI/ML Engineer
4 weeks ago
Infoya is a global IT solutions provider specializing in transforming complex challenges into streamlined, AI-powered outcomes. Through proprietary technology accelerators and full-scale enterprise services, Infoya automates workflows, enhances operational efficiency, and drives digital transformation across industries. With a presence in Canada, the US, India, and Costa Rica, we blend technical depth with creative problem-solving to deliver measurable impact. Our Values At Infoya, we innovate boldly, using AI and smart technology to turn challenges into opportunities. We act with integrity, adapt fast in a digital-first world, and empower our teams and clients to collaborate, create, and achieve extraordinary results—together. Job Description Seeking a highly skilled and motivated AI/ML Engineer with expertise in Machine Learning, Statistics, and Generative AI to join our team. The ideal candidate will have extensive experience in building and productionizing data science/GenAI use cases and a strong understanding of ML Ops and Cloud-based ML orchestration services. Key Responsibilities Develop and deploy Machine Learning models to solve real-world business challenges. Design and implement Generative AI solutions with a focus on NLP and LLMs. Work on end-to-end ML workflows, including data preprocessing, model training, evaluation, and deployment. Leverage ML Ops best practices to automate and optimize model deployment, monitoring, and retraining. Utilize cloud-based ML orchestration services (e.g., Vertex AI, AWS SageMaker, or Azure ML) for scalable model deployment. Develop and analyze SQL queries for data extraction, transformation, and aggregation. Stay updated with the latest advancements in Generative AI, NLP, and Data Science. Experience and Qualifications 5+ years of experience in developing and deploying Machine Learning models in production. Strong expertise in Time Series Forecasting, Generative AI, NLP, and LLMs. Proficiency in Python and relevant ML/GenAI frameworks (e.g., TensorFlow, Langchain, Llamaindex, ADK). Hands‑on experience with ML Ops tools and Cloud-based ML platforms (preferably on GCP). Strong background in developing deep learning and neural network‑based models for various AI applications. Solid understanding of probability, statistics, and mathematical modeling. Experience with different types of ML modeling approaches, including supervised, unsupervised, and reinforcement learning techniques. Experience working with big data processing frameworks (Apache Beam, Pyspark or similar) is a plus. Experience with scheduling tools (Cloud Composer or similar) is a plus. Proactively solutioning the problems. What We Offer Competitive salary and benefits package. Opportunity to work with a diverse and talented team. Professional development and growth opportunities. A dynamic and collaborative work environment. Hybrid work options. Seniority Level Mid‑Senior level Employment Type Full-time Job Function Engineering and Information Technology Industries IT Services and IT Consulting Salary: CA$80,000.00 - CA$120,000.00 (Toronto, Ontario, Canada) Referrals increase your chances of interviewing at Infoya by 2x Get notified about new Machine Learning Engineer jobs in Toronto, Ontario, Canada . #J-18808-Ljbffr
