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AI/ML Engineer

2 months ago

Toronto, Ontario, Canada Triunity Software Full time
Job Title: AI/ML Engineer

We are seeking a highly skilled AI/ML Engineer to join our team at Triunity Software. As a key member of our engineering team, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex business problems.

Responsibilities:
  • Design and Develop Machine Learning Models: Utilize your expertise in machine learning to design and develop models that can solve business problems, improve efficiency, and drive revenue growth.
  • Collaborate with Cross-Functional Teams: Work closely with our cross-functional teams to gather requirements, understand business objectives, and deliver AI/ML solutions that meet our customers' needs.
  • Stay Up-to-Date with Industry Trends: Stay current with the latest advancements in artificial intelligence and machine learning research and technologies, and apply this knowledge to improve our AI/ML solutions.
Qualifications:
  • Education: Bachelor's or Master's degree in computer science, engineering, mathematics, or a related field.
  • Technical Skills: Strong proficiency in Python and experience with libraries such as TensorFlow, PyTorch, scikit-learn, etc.
  • Machine Learning Expertise: Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, etc.
  • Cloud Experience: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and management.
  • Soft Skills: Excellent problem-solving skills, attention to detail, and strong communication and collaboration skills.
Preferred Qualifications:
  • Natural Language Processing (NLP): Experience with NLP, computer vision, or other specialized areas of machine learning.
  • Software Development Best Practices: Knowledge of software development best practices, including version control, testing, and code review.
  • Big Data Technologies: Experience with big data technologies such as Hadoop, Spark, etc.