- Triunity Software
- New York, NY
- Full-Time
- 44 days ago
- $100,000 – $110,000
AI Engineer.
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AI Engineer: our view in 3 lines...
- The Role:This role is for an AI engineer building machine learning and AI-powered applications using modern AI and data technologies.
- The Person:The person will design, develop, and deploy machine learning models and AI-powered applications, build and maintain data pipelines, evaluate model performance, and monitor deployed models.
- Requirements:The ideal candidate has a Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field, with proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
About the role
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 innovative team in Jersey City, NJ. This is an exciting opportunity to work at the cutting edge of artificial intelligence, building intelligent systems that make a real impact. If you're passionate about machine learning, data, and pushing the boundaries of what's possible — we want to hear from you!
Responsibilities:
- Design, develop, and deploy machine learning models and AI-powered applications
- Collaborate with cross-functional teams to identify and implement AI-driven solutions
- Build and maintain data pipelines to support model training and inference
- Evaluate and optimize model performance using relevant metrics and testing frameworks
- Research and integrate emerging AI/ML technologies, tools, and best practices
- Document architectures, workflows, and technical processes for team alignment
- Monitor deployed models and iterate based on real-world performance and feedback
Requirements:
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field
- Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience with NLP, computer vision, or generative AI is a strong plus
- Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices
- Strong understanding of data structures, algorithms, and statistical modeling
- Experience with LLMs, prompt engineering, or AI APIs (e.g., OpenAI) preferred
- Strong problem-solving skills and ability to work both independently and collaboratively
