ZipRecruiter

Log In

1

Machine Learning Object Detection Jobs in Oak Brook, IL

Grubhub

Senior Staff Data Scientist

Chicago, IL · On-site

Proven experience applying data science and machine learning to complex business problems, such as ... object-oriented design. * Demonstrated ability to take data science, ML, or causal inference ...

Co-Sourcing Partners

GCP AI/ML Engineer

Chicago, IL · On-site

Build, deploy, and manage production-grade machine learning pipelines using Vertex AI Pipelines and ... Set up alerting mechanisms and dashboards for proactive issue detection. * Optimize model ...

Marmon

Data Scientist

Carol Stream, IL · Hybrid

What You'll Do * Translate business requirements into analytical, machine learning, and GenAI ... detection, and analytical workflows. * Communicate complex analytical findings clearly through ...

Marmon Holdings, Inc.

Data Scientist

Carol Stream, IL · On-site

What You'll Do * Translate business requirements into analytical, machine learning, and GenAI ... detection, and analytical workflows. * Communicate complex analytical findings clearly through ...

Co-Sourcing Partners

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Implement and maintain data quality checks, validation rules, and anomaly detection frameworks ... Collaborate with data architects, business analysts, and machine learning teams to deliver trusted ...

next page

Showing results 1-20

All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Oak Brook, IL

Machine Learning Object Detection information

See Oak Brook, IL salary details

$31.8K

$130K

$195.3K

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

As of Jul 17, 2026, the average yearly pay for machine learning object detection in Oak Brook, IL is $129,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $156,400.00 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 job categories do people searching Machine Learning Object Detection jobs in Oak Brook, IL look for? The top searched job categories for Machine Learning Object Detection jobs in Oak Brook, IL are:
What cities near Oak Brook, IL are hiring for Machine Learning Object Detection jobs? Cities near Oak Brook, IL with the most Machine Learning Object Detection job openings:
Machine Learning Object Detection jobs near you
Senior Data Scientist

Senior Data Scientist

Indotronix International Corporation

Chicago, IL • On-site

Contractor

Re-posted 7 days ago

Job description

Senior Data Scientist | Chicago, Illinois, United States Senior Data Scientist - Claims & Risk Analytics (Remote, CST Hours) Location: Remote (US, CST hours) Duration: 12-month contract with extension potential Job Type: C2C About the Role: Join a cutting-edge analytics team as a Senior Data Scientist and drive transformative machine learning and NLP solutions for an industry-leading claims and incident mitigation project. Make a real impact by helping risk management teams predict, classify, and proactively address high-risk insurance claims. This is a fully remote opportunity offering exposure to large-scale data challenges, cloud technologies, and cross-functional collaboration-all while advancing your career in applied data science. Responsibilities: - Design and implement ML and NLP solutions for insurance claims and incident mitigation analytics - Translate complex risk management business needs into actionable data science strategies - Profile, clean, and prepare structured and unstructured claims and incident data for modeling - Engineer advanced features and leverage NLP to extract key risk signals from narrative data - Apply record linkage techniques to connect disparate data sources without unique identifiers - Build, validate, and deploy models ranking incidents by claim likelihood and severity - Classify claims by probable financial impact and assist in fraud detection - Collaborate closely with Risk Management, Legal, Data Engineering, BI, Data Governance, and MLOps teams - Monitor model performance, ensure scoring quality, and manage retraining cycles - Document assumptions, feature logic, validation outcomes, and model limitations - Present results and actionable insights to both technical and business stakeholders Required Skills and Experience: - Master's degree in computer science, statistics, industrial engineering, or related field (PhD preferred) - 5+ years in data science, operations research, or related area (2+ with PhD) - Deep expertise in insurance claims analytics, risk analysis, and fraud detection - Proficient in operations research modeling (LP, IP, MIP) and optimization tools (CPLEX, Gurobi) - Advanced skills in machine learning (supervised, unsupervised, deep learning), model evaluation, and feature engineering - Programming expertise in Python, SQL, Spark; strong command of ML frameworks (Scikit-Learn, XGBoost, Tensorflow, PyTorch, MXNet, LLM) - Cloud deployment experience (AWS, Azure, GCP) with large, complex datasets - Hands-on with streaming data architectures, Agile methodologies, DevOps, and CI/CD practices - Strong communication, documentation, and teamwork abilities Preferred Skills: - Background working with data in hospitality, travel, or service industry settings - Advanced understanding of data architecture and MLOps best practices - Proven track record translating analytics into measurable business impact - Demonstrated passion for innovation and continuous learning in data science Benefits: - Flexible remote work with collaborative, expert teams - Exposure to state-of-the-art cloud and AI technologies - Opportunity to work on high-impact, high-visibility projects - Professional growth through cross-functional engagement and challenging problem-solving - Potential contract extension based on performance How to Apply: If you are a data science expert passionate about transforming risk analytics and driving actionable business outcomes, we want to hear from you. Apply now with your updated resume for immediate consideration!
Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

View All Indotronix Jobs

Apply