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Machine Learning Object Detection Jobs in Crosby, TX

Visual Comfort & Co.

AI Engineer III

Houston, TX · On-site

$124K - $132K/yr

Design, develop, and deploy scalable machine learning models (predictive, classification, anomaly detection, clustering) and AI-powered solutions such as intelligent assistants, forecasting systems ...

circa

AI Engineer III

Houston, TX

Design, develop, and deploy scalable machine learning models (predictive, classification, anomaly detection, clustering) and AI-powered solutions such as intelligent assistants, forecasting systems ...

DPR Construction

MLOps Engineer

Houston, TX

... Machine Learning,Data Science, Data Engineering and Software Engineering. Position Overview ... Implement AI-driven data validation, schema drift detection, and metadata management. * Establish ...

Crane Worldwide Logistics

Data Scientist

Houston, TX

Mentor analysts and other self-service data consumers in advanced statistical and machine learning techniques * Detect anomalies, forecast key business trends, and provide proactive recommendations ...

Crane Worldwide Logistics

Data Scientist

Houston, TX · On-site

Mentor analysts and other self-service data consumers in advanced statistical and machine learning techniques * Detect anomalies, forecast key business trends, and provide proactive recommendations ...

Deloitte

Senior AI Engineer - SFL Scientific

Houston, TX

$99K - $137K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Some of our novel use cases include cancer detection, drug discovery, optimizing population health ...

HP Development Company, L.P.

AI Architect

Spring, TX · On-site

$137K - $202K/yr

This role will focus on leveraging artificial intelligence and machine learning to improve ... Lead deployment of AI solutions for predictive maintenance, anomaly detection, and capacity ...

Varsity Tutors

Python Tutor

Houston, TX · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

Varsity Tutors

Python Tutor

Pearland, TX · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

Cliftonlarsonallen

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

This position blends applied machine learning, software engineering, cloud architecture, and end-to ... Implement classical AI and advanced analytics approaches including forecasting, anomaly detection ...

Waste Management

IT & OT SOC Manager

Houston, TX · On-site

Oversee incident detection, investigation, response, and escalation processes for both IT and ... including machine-learning-based detections, analytics, and response automation * Ensure ...

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Showing results 1-20

All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Crosby, TX

Machine Learning Object Detection information

See Crosby, TX salary details

$31.9K

$130.5K

$196.1K

How much do machine learning object detection jobs pay per year?

As of Jul 18, 2026, the average yearly pay for machine learning object detection in Crosby, TX is $130,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $157,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Object Detection Engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
What cities near Crosby, TX are hiring for Machine Learning Object Detection jobs? Cities near Crosby, TX with the most Machine Learning Object Detection job openings:
Machine Learning Object Detection jobs near you
AI Engineer III

AI Engineer III

Visual Comfort & Co.

Houston, TX • On-site

$124K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

Who we are:
Visual Comfort & Co. is the premier resource for decorative and architectural lighting, ceiling fans, system controls and automated shading solutions from the most influential designers in the world. We are proud to offer a market-leading range of premium products across categories, styles and price points, remaining committed to beautiful design and, above all, a world-class customer experience.
Reporting directly to the Vice President Enterprise Data Platform within the IT department, the AI Engineer III is responsible for collaborating with data engineering, business intelligence, and business stakeholders to design and deliver AI-driven solutions. Duties include designing and developing machine learning models and AI capabilities, integrating predictive insights and intelligent features into enterprise reporting platforms, and supporting the organization's BI ecosystem by embedding automation and advanced analytics into dashboards, semantic models, and data products to enhance decision-making and operational efficiency.
Visual Comfort Offers:
  • Work-Life Balance: Monday - Friday, 8:00am - 5:00pm, Domestic Travel 25%
  • Training & Development: A comprehensive and structured training program, complemented by ongoing education and opportunities for career advancement.
  • Paid Time Off: Generous vacation accrual and paid time off policies.
  • Holidays: 7 paid holidays per year, in addition to 2 floating holidays.
  • Compensation: Competitive compensation plan
  • Health Benefits: Visual Comfort covers the majority of employee medical premiums, and offers competitive vision and dental coverage available starting the first of the month following your start date.
  • Insurance: Company-provided life insurance and short-term disability coverage.
  • Retirement: 401(k) plan with company matching up to 4%, available beginning the first of the month following your hire date.

How success is defined:
  • Design, develop, and deploy scalable machine learning models (predictive, classification, anomaly detection, clustering) and AI-powered solutions such as intelligent assistants, forecasting systems, and natural language interfaces.
  • Integrate AI and machine learning capabilities into enterprise applications and platforms using services such as Azure AI, OpenAI, and similar technologies.
  • Architect and build reusable AI frameworks, components, and services to enable enterprise-wide scalability, standardization, and rapid deployment.
  • Partner with data engineering teams to develop ML-ready datasets, feature pipelines, and robust data foundations that support advanced analytics and AI use cases.
  • Leverage enterprise data platforms (e.g., Azure, Fabric, Synapse) to design and execute scalable, high-performance AI workloads.
  • Embed AI-driven insights and predictive analytics into BI solutions (e.g., Power BI, Datamarts) and integrate outputs into dashboards, semantic models, and reporting layers.
  • Ensure alignment of AI and analytics solutions with enterprise KPIs, reporting standards, and data governance frameworks across ERP, CRM, and operational systems.
  • Develop intelligent automation and decisioning systems that combine machine learning with rule-based logic to enable proactive monitoring, anomaly detection, and self-healing capabilities.
  • Establish and enforce Responsible AI practices, including model transparency, explainability, monitoring, and ethical use of data and algorithms.
  • Ensure compliance with enterprise data governance, security, and regulatory requirements, maintaining auditability and integrity of AI models and outputs.
  • Translate business requirements into AI-enabled solutions by partnering cross-functionally with Finance, Sales, Operations, and other stakeholders to prioritize high-value use cases.
  • Communicate AI solutions and insights to technical and non-technical audiences and support user enablement, training, and adoption of AI-driven analytics tools.
  • Works effectively with others in a team environment to accomplish organizational goals and to identify and resolve problems.
  • Exhibits and adheres to the established Visual Comfort Company Values.
  • Must demonstrate commitment, dependability, punctuality, and adherence to agreed-upon schedule while being present in the workplace to effectively collaborate and communicate amongst co-workers and teams.

What you will bring:
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; equivalent combinations of education and experience will be considered.
  • 4-7 years of experience in AI/ML, data science, or advanced analytics, with a proven track record of delivering production-grade AI and data solutions in enterprise environments.
  • 4-7 years of hands-on programming experience with Python and SQL, including building, testing, and deploying data-driven applications and models.
  • 4-7 years of experience with machine learning frameworks and model lifecycle management, including training, validation, deployment, and monitoring.
  • Demonstrated experience integrating AI/ML solutions into enterprise applications and reporting platforms, including BI tools such as Power BI or similar visualization technologies.
  • 4-7 years of experience working with cloud data and AI platforms (Azure, AWS, or similar), including services such as Azure AI, Azure ML, OpenAI, Synapse, or Fabric.
  • Strong understanding of data modeling (including dimensional modeling), semantic layers, and enterprise reporting structures.
  • Experience designing and supporting ETL/ELT pipelines and collaborating with data engineering teams to enable scalable AI and analytics solutions.
  • Strong analytical, organizational, and problem-solving skills, with high attention to detail and the ability to manage multiple priorities in a fast-paced, evolving environment.
  • Ability to translate complex business requirements into scalable, high-impact technical solutions and align AI initiatives to business outcomes across functions such as Finance, Sales, and Operations.
  • Effective communication and collaboration skills, including the ability to clearly convey technical concepts across multiple channels (e.g., email, chat, presentations) and work independently or as part of cross-functional teams.
  • Experience with enterprise systems (e.g., ERP platforms such as D365 or JD Edwards) and industry domains such as retail, manufacturing, or supply chain analytics is nice to have not required.
  • Experience developing AI copilots, chatbots, or enterprise AI agents is preferred.
  • Microsoft certifications in Azure AI, Data, or Power BI are a plus.
  • Ability to work a flexible schedule to support business needs, including occasional early mornings, evenings, or weekends as required.

Compensation Range: $124,000 - $132,000
Compensation is based on individual factors, including skill set, relevant experience, and work location
#LI-Onsite
Qualified applicants are considered for employment, and employees are treated during employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, gender identity, or expression, genetic information, or any other legally protected status.
To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, Visual Comfort & Co., will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).

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