AI/ML Engineer

Triunity Software

  • Dc, Washington
  • 6 days ago
  • $100,000–$110,000 Per Year

Highlights

Lead by experts in the IT industry with a proven record of delivering software solutions, consulting, and staffing services, we have expertise in fulfilling client needs in terms of customized business solutions as well as IT consulting. We help our people in adding latest technologies, tools, methodologies and certifications to their resume by arranging trainings, seminars and knowledge sharing sessions.

Numbers & Facts

LocationDc, Washington
Salary$100,000–$110,000 Per Year

Description

Benefits:
  • Bonus based on performance
  • Health insurance
  • Training & development
About the Role:
Triunity Software is looking for a talented and driven AI/ML Engineer to join our growing team in Calgary, AB. This is an exciting opportunity to work at the forefront of artificial intelligence and machine learning, building innovative solutions that make a real impact. If you're passionate about turning data into intelligent systems, we want to hear from you!
Responsibilities:
  • Design, develop, and deploy machine learning models and AI-driven applications
  • Collaborate with cross-functional teams to identify and solve complex business problems using ML solutions
  • Build and maintain scalable data pipelines and model training infrastructure
  • Conduct model evaluation, performance tuning, and continuous improvement of deployed systems
  • Research and implement state-of-the-art algorithms in NLP, computer vision, or predictive analytics
  • Monitor production ML models and ensure reliability, accuracy, and scalability
  • Document technical processes, model architectures, and experiment results
Requirements:
  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field
  • Proven experience building and deploying machine learning or deep learning models in production
  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools
  • Strong understanding of data preprocessing, feature engineering, and model evaluation techniques
  • Familiarity with SQL/NoSQL databases and big data technologies
  • Excellent problem-solving skills and ability to communicate technical concepts clearly
Compensation: $100,000.00 - $110,000.00 per year

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