Job Description
Duration: 6 months + extensions Location: Downtown Toronto 1x/week Required Skills & Experience
REQUIRED QUALIFICATIONS
Master’s or PhD in Computer Science, Machine Learning, or a related field. 5+ years of experience in machine learning engineering, with a strong focus on GenAI‑driven personalization. Expertise with GenAI frameworks (e.g., LangChain or LangGraph) and production‑grade ML systems. Proven experience with GCP services and large‑scale ML infrastructure. Strong proficiency in Python, SQL, and cloud‑native development. Experience with Docker and Kubernetes. Demonstrated success deploying ML models to production at scale. PREFERRED QUALIFICATIONS
Experience with multimodal deep learning architectures and generative AI models. Knowledge of modern recommendation system architectures (transformers, neural team‑oriented filtering). Experience building real‑time inference systems. Familiarity with distributed computing frameworks (Spark) and big‑data pro...
REQUIRED QUALIFICATIONS
Master’s or PhD in Computer Science, Machine Learning, or a related field. 5+ years of experience in machine learning engineering, with a strong focus on GenAI‑driven personalization. Expertise with GenAI frameworks (e.g., LangChain or LangGraph) and production‑grade ML systems. Proven experience with GCP services and large‑scale ML infrastructure. Strong proficiency in Python, SQL, and cloud‑native development. Experience with Docker and Kubernetes. Demonstrated success deploying ML models to production at scale. PREFERRED QUALIFICATIONS
Experience with multimodal deep learning architectures and generative AI models. Knowledge of modern recommendation system architectures (transformers, neural team‑oriented filtering). Experience building real‑time inference systems. Familiarity with distributed computing frameworks (Spark) and big‑data pro...
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