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AI​/ML Engineer

Job in Woodbridge Township, Middlesex County, New Jersey, USA
Listing for: Triunity Software, Inc.
Full Time position
Listed on 2026-11-02
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Engineering
Salary/Wage Range or Industry Benchmark: 64456.2 - 93103.4 USD Yearly USD 64456.20 93103.40 YEAR
Job Description & How to Apply Below
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 cutting edge of artificial intelligence and machine learning, building intelligent solutions that make a real impact. If you're passionate about turning data into powerful products, we want to hear from you.

Responsibilities:
  • Design, develop, and deploy machine learning models and AI-driven solutions at scale
  • Collaborate with cross-functional teams to identify and scope AI/ML opportunities within products
  • Build and maintain robust data pipelines to support model training and inference
  • Conduct model evaluation, performance tuning, and continuous improvement of deployed systems
  • Research and implement state-of-the-art ML techniques, frameworks, and tools
  • Monitor production models and address issues related to model drift, accuracy, and reliability
  • Document technical processes, architectures, and model performance metrics
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 Tensor Flow, PyTorch, or scikit-learn
  • Experience with cloud platforms (AWS, Azure, or GCP) and MLOps practices
  • Strong understanding of NLP, computer vision, or predictive modeling techniques
  • Familiarity with data engineering tools and big data technologies (Spark, SQL, etc.)
  • Strong problem-solving skills with a collaborative, team-oriented mindset
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