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Ai Object Detection Jobs (NOW HIRING)

Innosoul inc

AI/ML Developer

Austin, TX · On-site

Job ID: TX-RITM1788244 Hybrid/Local AI/ML Developer/Cloud Engineer (AWS/Azure/Google Cloud Platform ... Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or ...

New

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy ... Develop and optimize deep learning models for depth estimation, object detection, segmentation ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

AI/ML Engineer Location: Dayton, OH and Remote Employment Type: Full-Time Clearance requirements ... Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site

AI/ML Engineer Location: Dayton, OH and Remote Employment Type: Full-Time Clearance requirements ... Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

AI/ML Engineer Location: Dayton, OH and Remote Employment Type: Full-Time Clearance requirements ... Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R ...

InnovationTeam

Junior AI Engineer - Computer Vision

Remote Junior AI Engineer - Computer Vision Location : Remote Employment Type : Full-time (8 hours ... for object detection, image classification, segmentation, and tracking. • Prepare and manage ...

New

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$52.75 - $69.50/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... AI/ML Production: Built and deployed 2-3+ ML models serving real users - not just experiments.

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How much do ai object detection jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for ai object detection in the United States is $53.11, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $68.51 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Object Detection Engineer, and why are they important?

To thrive as an AI Object Detection Engineer, you need strong skills in computer vision, deep learning, and programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with GPU computing and relevant certifications, is typically required. Analytical thinking, attention to detail, and effective collaboration are important soft skills that help drive innovative solutions. These skills and qualities are crucial for building accurate, efficient detection models and successfully deploying AI solutions in real-world applications.

What are some common challenges faced by AI Object Detection specialists when deploying models to production environments?

AI Object Detection specialists often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing inference speed for real-time applications, and managing large-scale annotated datasets. Deploying models requires close collaboration with data engineers, software developers, and quality assurance teams to address integration issues and maintain consistent performance. Staying up-to-date with the latest frameworks and hardware acceleration techniques is also crucial for overcoming these challenges and ensuring successful deployments.

What is AI object detection?

AI object detection is a computer vision technology that uses artificial intelligence to identify and locate objects within images or videos. It not only classifies objects but also determines their position through bounding boxes or segmentation. This technology is widely used in applications such as autonomous vehicles, surveillance, medical imaging, and retail analytics. AI object detection leverages deep learning models, often based on neural networks, to improve accuracy and speed. As the technology advances, its use cases continue to expand across various industries.
Infographic showing various Ai Object Detection job openings in the United States as of June 2026, with employment types broken down into 18% Internship, 73% Full Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $110,464 per year, or $53.1 per hour.

Software Developer Specialist (AI/ML)

Rudra Enterprise LLC

Austin, TX

Other

Posted 5 days ago

Job description


Role: Software Developer Specialist (AI/ML)
Location: Austin, TX (Hybrid)
Duration: 12+ Months (2 Possible 1-Year Extensions)
Hours: 2080 Hours


Key Skills Required:

  • Python (Production Experience)
  • AI/ML Model Development & Deployment
  • NLP, LLMs, RAG, Prompt Engineering
  • Computer Vision (YOLO, OpenCV, PyTorch, TensorFlow)
  • MLOps (MLflow, Kubeflow, Airflow, W&B)
  • Cloud Platforms (AWS, Azure, Google Cloud Platform, OCI)
  • Docker, Kubernetes, Ansible
  • CI/CD (Azure DevOps, GitHub Actions, Jenkins)
  • SQL & NoSQL Databases
  • Bash & PowerShell Scripting
  • Distributed Training & Model Optimization

Preferred:

  • GIS / Spatial Data
  • Transportation or Smart City Experience
  • Digital Twin Technologies
  • Unreal Engine
  • Google Maps Cesium API
  • Polygonflow Dash


Project Overview:
Seeking a senior AI/ML-focused Software Developer Specialist to transform existing AI proof-of-concepts into scalable, production-ready web applications supporting transportation engineering workflows, including plan review automation, roadway asset detection, and digital delivery initiatives.



CANDIDATE SKILLS AND QUALIFICATIONS

Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
8
Required
Cloud Platforms: Experience with AWS, Azure, Google Cloud Platform, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, Google Cloud Platform Vertex AI, OCI AI Services).
8
Required
DevOps: Ansible, CI/CD, Docker and Kubernetes experience.
8
Required
Databases: SQL (PostgreSQL, MySQL) and NoSQL/vector databases.
8
Required
Scripting: Proficient in both Bash and PowerShell for automation.
8
Required
CI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines.
3
Required
Python: 3-5+ years production experience, this is your primary language.
3
Required
NLP/LLMs: Experience with transformers (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications.
3
Required
Time Series: Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring systems.
3
Required
Recommender Systems: Collaborative filtering, ranking models, personalization engines, or content recommendations.
3
Required
MLOps Tools: Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or similar platforms.
3
Required
Distributed Training: Large-scale model training, multi-GPU/multi-node setups, efficient data parallelism.
3
Required
Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference.
3
Required
Feature stores (Feast, Tecton) or advanced feature engineering.
3
Required
Model optimization: quantization, pruning, knowledge distillation.
3
Required
LLM Models: Ollama, Huggingface, or other non-frontier models
2
Required
AI/ML Production: Built and deployed 2-3+ ML models serving real users, not just experiments.
1
Preferred
Experience with Geospatial Information Systems (GIS) and analyzing spatial data.
1
Preferred
Prior experience in the transportation, logistics, or smart city sectors.
1
Preferred
Background in Computer Vision (object detection, image segmentation) applied to infrastructure or vehicular data.
1
Preferred
Familiarity with public sector data compliance, security, and governance standards.
1
Preferred
Experience with the Unreal gaming engine and real world digital twinning
1
Preferred
Experience with Google Maps Cesium API
1
Preferred
Experience with Polygonflow Dash and its capabilities




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