AI Engineer
Triunity Software
- Location
- Onsite (Oakland, CA)
- Compensation
- $100k - $110k/yr
- Employment
- Full-time
- Level
- Mid Level
Posted 4 days ago
About the Role
Triunity Software is seeking an AI Engineer to design, develop, and deploy machine learning models and AI-powered applications. The role involves collaborating with cross-functional teams to integrate innovative AI solutions into existing software products.
Skills
Machine learning
Artificial intelligence
Python
TensorFlow
PyTorch
Scikit-learn
Pandas
NumPy
NLP
Computer vision
Generative AI
AWS
Azure
GCP
MLOps
Data pipelines
Benefits
- Health insurance
- Bonus
Perks
- Performance bonus
Full job details
Benefits:
- Bonus based on performance
- Health insurance
- Training & development
About the Role:
Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Calgary, AB. This is an exciting opportunity to work at the forefront of artificial intelligence, building innovative solutions that make a real impact. If you're passionate about AI and want to shape the future of software, we want to hear from you!
Responsibilities:
- Design, develop, and deploy machine learning models and AI-powered applications
- Collaborate with cross-functional teams to integrate AI solutions into existing software products
- Research and evaluate emerging AI/ML frameworks, tools, and methodologies
- Build and maintain data pipelines to support model training and inference
- Monitor, test, and optimize model performance in production environments
- Contribute to technical documentation and best practices for AI development
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Proficiency in Python and experience with data manipulation libraries (Pandas, NumPy)
- Familiarity with NLP, computer vision, or generative AI is a strong asset
- Experience with cloud platforms (AWS, Azure, or GCP) and MLOps practices
- Strong problem-solving skills and ability to work both independently and collaboratively
- Excellent communication skills with the ability to explain complex AI concepts to non-technical stakeholders