Data Scientist, AI & Computer Vision

Company Description

3dEYE is a leading pure cloud video AI analytics monitoring platform that requires no additional server or bridge purchase. 3dEYE platform is camera-agnostic and includes an administration, live video monitoring, video management portal, AI-powered analytics, and billing portal. With 3dEYE, systems integrators, IT companies, and telcos can create their own turn-key business and offer cloud VSaaS solutions instantly. The platform enables users to deploy multi-site cloud-based live video monitoring and connect tens of thousands of cameras in a matter of days.

By leveraging the power of AI analytics and AWS cloud processing benefits, 3dEYE offers top security, reliability, redundancy, minimum latency, unlimited scalability, and cost-effectiveness. We envision a future where security operations are proactive, leveraging cutting-edge technology to ensure safety, efficiency, and rapid response. We aim to empower security professionals with seamless web tools, proactive AI-driven security measures, and advanced automation workflows for smarter live video monitoring and investigations.

Role Description

3dEYE Inc. is seeking a highly skilled Data Scientist to join our team. This full-time, remote role will focus on developing, training, and testing machine learning models and creating innovative algorithms for our AI-powered video surveillance solutions. As a Data Scientist at 3dEYE, you’ll be responsible for advancing the accuracy, efficiency, and scalability of our analytics models, ensuring they meet the needs of high-performance, real-time applications.

The ideal candidate will have extensive experience with machine learning model development and deployment, a strong foundation in data science, and proficiency in model training frameworks and tools. This role offers the opportunity to collaborate with engineering and product teams to build cutting-edge AI-driven features.

Key Responsibilities

• Design and implement machine learning models for video analytics, including model training, testing, and evaluation.
• Develop and fine-tune algorithms to improve model accuracy and computational efficiency.
• Leverage large datasets to create innovative solutions that support complex analytics like object detection, face recognition, and people counting.
• Collaborate with cross-functional teams to integrate models into production environments and continuously optimize them for performance.
• Monitor model performance, retraining as needed to maintain high accuracy and reliability.
• Research and implement the latest techniques and tools in machine learning to stay ahead in the field.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• 5+ years of experience in data science, machine learning, or a related field, with proven experience in model development, training, and testing.
• Track record of developing successful machine learning models in production environments.
• Proficiency in Python and machine learning frameworks, including PyTorch, TensorRT, and ONNX.
• Experience with CUDA for GPU-accelerated computing.
• Deep Learning & CV Frameworks: 

- CNNs & Vision Transformers (ViT): Building and optimizing detection/segmentation/classification models, with experience fine-tuning for video analytics use cases (e.g., object tracking, activity recognition).

• LLM & Agent Integration:

- LLMs: Experience in fine-tuning, RAG pipelines, and embedding-based retrieval for multimodal context.

- Multimodal AI Agents: Building systems that combine vision-language models (VLMs) with LLMs for tasks like video Q&A, summarization.

• AI Agents & MCP: Familiarity with deploying AI agents (self-driving workflows, autonomous decision-making) and frameworks such as LangChain or custom multi-agent setups.
• Familiarity with cloud-based services (e.g., AWS) and deploying models in cloud environments.

Additional Qualifications

• Strong analytical and problem-solving skills, with an innovative approach to developing complex algorithms.
• Excellent communication skills to collaborate with cross-functional teams.
• Proactive in staying updated on advancements in machine learning and AI.

Preferred Qualifications:

• Experience with .NET and C++ is a strong plus.
• Familiarity with computer vision techniques and video analytics.
• Intermediate-level or higher English proficiency.

What We Offer:

• A supportive, dynamic, and innovative work environment
• Full-time employment with opportunities for professional growth
• Potential for international travel to trade shows
• Remote work with flexible hours and regular online team meetings

How to Apply

Please submit your resume, GitHub profile (or code samples), and any relevant work portfolio to [email protected].