Formation Machine Learning Engineer

4 months ago


Saskatoon, Canada The Learning Experience #328 Full time
p>Job Title: Senior Machine Learning Engineer

Company: Super GeoAI Technology Inc.

Super GeoAI Technology Inc. (SGA) is a pioneering force in the field of geospatial technology and artificial intelligence. We are seeking an experienced Senior Machine Learning Engineer to join our innovative team and contribute to the development of state-of-the-art AI models and applications.We are looking for a highly skilled and experienced Senior Machine Learning Engineer to lead the development and implementation of our machine learning models. The successful candidate will have a deep understanding of machine learning algorithms, data processing techniques, and the ability to translate business requirements into technical solutions. This role requires strong technical expertise, leadership abilities, and a passion for innovation.Lead the design, development, and deployment of machine learning models and algorithms.Analyze and preprocess large datasets to create high-quality training data.Develop, implement, and optimize machine learning algorithms to solve complex problems.Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to integrate machine learning models into production systems.Evaluate and compare model performance using various metrics and improve model accuracy and reliability.Conduct code reviews, provide mentorship, and guide junior engineers in best practices.Stay current with the latest advancements in machine learning technology and industry best practices.Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, or a related field. li>At least 5 years of working experience in computer vision, deep learning, machine learning, or AI methodologies.A minimum of 3 years of hands-on experience developing machine learning models.Proficiency in Python, TensorFlow, PyTorch, and/or other ML languages and frameworks.Strong understanding of machine learning algorithms, statistical methods, and data processing techniques.Experience with big data technologies such as Hadoop, Spark, and cloud platforms (e.g., li>Knowledge of deep learning techniques and applications.Experience with computer vision and natural language processing (NLP).Experience with geospatial data and geographic information systems (GIS).

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