San Jose, CA/Chicago, IL Duration: 18 months contract with a possible extension What You'll Do • Redesign and optimize PayPal's MLOps and decision platform for fraud detection • Architect large ...
San Jose, CA/Chicago, IL Duration: 18 months contract with a possible extension What You'll Do • Redesign and optimize PayPal's MLOps and decision platform for fraud detection • Architect large ...
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CHICHAGO, IL***ONSITE*** Contract: 1-2 Years AI/ML with Life science domain with image processing Expert Proficiency In Machine Learning Frameworks Such As Tensorflow And Pytorch. 2. Strong ...
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Chicago, IL · Remote
$100 - $150/hr
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Chicago, IL · Remote
$100 - $150/hr
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Attorney - Remote
Aurora, IL · Remote
$100 - $150/hr
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Attorney - Remote
Aurora, IL · Remote
$100 - $150/hr
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Elgin, IL · Remote
$100 - $150/hr
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Elgin, IL · Remote
$100 - $150/hr
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Joliet, IL · Remote
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$100 - $150/hr
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$100 - $150/hr
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Attorney - Remote
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Chicago, IL · On-site
$85 - $100/hr
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Sr. Data Scientist
Chicago, IL · On-site
$85 - $100/hr
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Machine Learning Contract information
See Chicago, IL salary details
$14.36 - $15.96
3% of jobs
$15.96 - $17.56
7% of jobs
$17.56 - $19.16
6% of jobs
$20.36 is the 25th percentile. Wages below this are outliers.
$19.16 - $20.76
11% of jobs
$20.76 - $22.35
13% of jobs
The median wage is $23.20 / hr.
$22.35 - $23.95
18% of jobs
$23.95 - $25.55
16% of jobs
$25.65 is the 75th percentile. Wages above this are outliers.
$25.55 - $27.15
9% of jobs
$27.15 - $28.75
6% of jobs
$28.75 - $30.35
7% of jobs
$30.35 - $31.94
3% of jobs
$14
$23
$31
How much do machine learning contract jobs pay per hour?
What is a Machine Learning Contract job?
A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.
What are the key skills and qualifications needed to thrive in the Machine Learning Contract position, and why are they important?
To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.
What are the typical responsibilities and workflow for a Machine Learning Contract position?
As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.
Other
Posted 28 days ago
Job description
Location: San Jose, CA/Chicago, IL
Duration: 18 months contract with a possible extension
What You'll Do• Redesign and optimize PayPal's MLOps and decision platform for fraud detection
• Architect large-scale big-data infrastructure to enable use of cutting-edge machine learning models for real-time fraud prevention.
• Collaborate with data scientists and platform engineers to automate workflow
• Provide solutions that ensure compliance, security, and maintainability across the fraud detection ecosystem.
• Work with high-dimensional datasets and leverage tools like Python, PySpark, and Big Query to develop robust workflows for fraud signal detection.
• Standardize rules and decision processes while enabling dynamic rule updates and analytics within the fraud detection platform.
• Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally.
• Tasks will be distributed via our Jira board/sprint planning/grooming cycle.
• Team will have a regular standup on each task (at least twice a week but open for daily if needed or any blockers).
• During the onboarding, it would require more interactions with Engg/Product/US Risk core teams but once onboarded, it would be 50/50.
• Team work mostly within Jira board from tasks assignments and tracking.
• Code would be in our centralized GitHub repo.
• Updates/documentation would be either in wiki page or our SharePoint/share drive.
You would get chance to design and implement scalable solutions to optimize fraud detection systems, spanning model development, feature engineering, and rule-based systems. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our platform sets a new global standard for efficacy and innovation. You will address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities. By joining us, you will not only contribute to PayPal's fraud detection efforts but leave a lasting impact on the financial security of millions of users around the globe.
Top Skills:- Big Query, Python, SQL
- Understand the production systems architect and offline data overview
- Machine Learning experience