About Trilyon, Inc.
For over 16 years, Trilyon, Inc. has been a leader in global workforce solutions, specializing in Cloud Technology, AI/ML, Software Development, Technical Writing, and Digital Transformation. We partner with top companies to deliver high-quality talent in engineering, IT, and emerging technologies.
For additional information or to view all of our job opportunities, please visit our website:
https://trilyonservices.com/careers/
********Note: Only W2 Candidates, No C2C.*********
********Need someone with Energy/ Utility Domain***********
Job Title: AI Engineer
Location: Lehi, UT
Duration: 10+ months (With high possibility of extension)
Description:
We are seeking a highly skilled Staff AI Engineer to design and deploy multimodal computer vision and vision-language systems that power image and video captioning, person and object re-identification, and customizable security event detection. This role spans the full machine learning lifecycle from data pipelines and model development to deployment on edge devices and cloud platforms.
Key Responsibilities
- Design, train, fine-tune, and deploy computer vision and multimodal models for image captioning, video description, object and person re-identification, and security event detection.
- Develop vision-language and embedding-based systems using architectures such as transformers, CLIP, BLIP, contrastive learning frameworks, and deep metric learning models.
- Build and maintain scalable data pipelines for image and video collection, annotation, curation, augmentation, and quality validation.
- Develop discriminative embedding models and tracking pipelines that enable cross-camera and cross-session identity continuity.
- Implement action recognition and behavior detection models to identify security-relevant activities and support customizable user-defined detection rules.
- Integrate AI models into edge devices and cloud services while optimizing for latency, accuracy, power consumption, and reliability.
- Collaborate with embedded, backend, frontend, product, and UX teams to deliver production-ready AI capabilities.
- Design and maintain evaluation frameworks using automated metrics and human review to measure accuracy, robustness, and real-world performance.
- Monitor deployed models for drift, bias, false positives, and system performance, and continuously iterate based on feedback and telemetry.
- Implement privacy-conscious and ethical AI practices including on-device inference, data minimization, and secure handling of sensitive visual data.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, Machine Learning, or a related field.
- Three or more years of hands-on experience building production machine learning or computer vision systems.
- Strong foundation in deep learning, computer vision, and machine learning including CNNs, transformers, metric learning, and representation learning.
- Experience working with image and video datasets, annotation workflows, and large-scale training pipelines.
- Proficiency in Python and experience using frameworks such as PyTorch or TensorFlow.
- Experience deploying models into production environments including cloud services and edge or embedded platforms.
- Strong problem-solving skills and ability to communicate technical concepts clearly to cross-functional stakeholders.
Preferred Qualifications
- Experience with multimodal models, vision-language systems, and retrieval-based architectures.
- Familiarity with vector databases and similarity search for embedding storage and retrieval.
- Experience optimizing models for real-time inference including quantization, pruning, and hardware acceleration.
- Knowledge of privacy-preserving machine learning techniques such as federated learning or differential privacy.
- Experience with multimedia processing pipelines and tools such as FFmpeg, GStreamer, CVAT, or Label Studio.
- Exposure to sensor fusion techniques combining vision with audio or other modalities.
- Background in accessibility, content moderation, or user experience driven AI applications.
Why Join Trilyon, Inc.?
- Opportunity to support large-scale infrastructure and utility projects
- Collaborative and professional work environment
- Long-term engagement with strong extension potential
- Focus on growth, learning, and operational excellence
Equal Employment Opportunity (EEO) Statement
Trilyon, Inc. is an Equal Opportunity Employer committed to diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected status under applicable laws. Our diverse team drives innovation, competitiveness, and creativity, enhancing our ability to effectively serve our clients and communities. This commitment to diversity makes us stronger and more adaptable.
Thank You
Inderjeet Nishad
inder@trilyonservices.com
P: (669) 315-4455
