AI/ML Engineer

2 days ago

Toronto, Canada Infoya Full time

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. As an AI/ML Engineer, you will be responsible for developing cutting-edge AI/ML solutions, particularly in the field of Anomaly Detection, Natural Language Processing (NLP) and Large Language Models (LLMs). 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. Requirements 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. Benefits 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. #J-18808-Ljbffr

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