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Xgboost Jobs (NOW HIRING)

... XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization) • Strong leadership and capacity to work as a ...

Sklearn, XGBoost, LightGBM. * Mandarin Chinese fluency (the company operates a bilingual EN/CN working environment; this is a hard requirement). * Based in or willing to relocate to the Greater ...

Train supervised and unsupervised models using Python ( XGBoost, LightGBM, sklearn, PyTorch ) * Conduct data profiling, feature engineering, model evaluation using stratified validation * Implement ...

AI/ML Technical Lead

Bellevue, WA · On-site

$150 - $230/hr

Experience with PyTorch, TensorFlow, Scikit-learn, Keras, XGBoost, or similar frameworks. * Experience developing and deploying production machine learning models. * Strong knowledge of algorithms ...

CCaaS Google Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

Experience building and integrating AI/ML solutions such as Xgboost, SARIMA, Prophet, prompt engineering, and TensorFlow into production systems. * Understand model lifecycle including evaluations ...

AI/ML Technical Lead

Lynnwood, WA · On-site

$130K - $155K/yr

Experience with PyTorch, TensorFlow, Scikit-learn, Keras, XGBoost, or similar frameworks. * Experience developing and deploying production machine learning models. * Strong knowledge of algorithms ...

Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience with cloud platforms and containerization (Docker, Kubernetes)

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Experience with ML frameworks eg scikitlearn XGBoost TensorFlow PyTorch. * Strong knowledge of statistics experimental design and causal inference. * Handson experience with data visualization tools ...

Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience with cloud platforms and containerization (Docker, Kubernetes)

Data Scientist

Los Angeles, CA · On-site

$120 - $160/hr

Strong skills in Python and common ML libraries (e.g., scikit-learn, XGBoost, pandas) * Familiarity with AWS tools, especially SageMaker, or equivalent cloud-based ML environments * Experience ...

... XGBoost, CatBoost, Gradient Boosting, Ensemble Models, Regression, and Classification algorithms. • Conduct hyperparameter tuning, cross-validation, and model evaluation using appropriate ...

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Xgboost information

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$11

$36

$72

How much do xgboost jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for xgboost in the United States is $36.26, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $39.66 per hour, depending on experience, location, and employer.

What is XGBoost?

XGBoost stands for eXtreme Gradient Boosting and is an open-source machine learning library that provides an efficient and scalable implementation of gradient boosting algorithms. It is commonly used for supervised learning tasks, such as classification and regression, due to its high performance, speed, and ability to handle missing values. XGBoost supports parallel processing, regularization to prevent overfitting, and can be used with various programming languages like Python, R, and Julia. Its popularity stems from its success in many machine learning competitions and real-world applications.

What types of projects or datasets do professionals commonly work with when using XGBoost in a machine learning role?

Professionals using XGBoost often tackle projects involving structured data, such as customer analytics, credit scoring, fraud detection, and sales forecasting. XGBoost is particularly valued for its speed and accuracy with large tabular datasets, making it a popular choice in finance, healthcare, and e-commerce. On a daily basis, you may collaborate with data engineers to preprocess data, work with data scientists to tune hyperparameters, and communicate findings to business stakeholders. The role typically involves iterating on feature engineering, model evaluation, and integrating models into production pipelines.

What are the key skills and qualifications needed to thrive as a machine learning engineer specializing in XGBoost, and why are they important?

To thrive as a Machine Learning Engineer specializing in XGBoost, you need a strong background in statistics, data analysis, and programming (especially Python), often supported by a degree in computer science or a related field. Proficiency with XGBoost, data preprocessing libraries (like pandas and NumPy), and experience with machine learning platforms such as scikit-learn or TensorFlow are typically required. Analytical thinking, problem-solving, and effective communication are essential soft skills for interpreting results and collaborating with stakeholders. These skills ensure accurate model development, efficient implementation, and impactful business outcomes from machine learning projects.

What is the difference between Xgboost vs Data Scientist?

AspectXgboostData Scientist
Primary RoleDeveloping and tuning machine learning models, especially gradient boosting algorithmsAnalyzing data, building models, and deriving insights across various techniques
Required SkillsProgramming (Python, R), machine learning, data preprocessingStatistics, programming, data visualization, machine learning
Work EnvironmentData science teams, machine learning projects, software developmentResearch, data analysis, cross-functional collaboration

While Xgboost is a specific machine learning algorithm used within data science projects, a Data Scientist encompasses a broader role involving data analysis, modeling, and insights. Xgboost is a tool often employed by Data Scientists to improve predictive performance, but the Data Scientist's responsibilities extend beyond just implementing algorithms.

More about Xgboost jobs
Infographic showing various Xgboost job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $75,411 per year, or $36.3 per hour.

IT - Technology Lead | OpenSystem | Python - OpenSystem

Spruce Infotech

Fort Lauderdale, FL • On-site

$130K - $160K/yr

Full-time

Re-posted 3 days ago


Job description

Job Title: Technology Lead | OpenSystem | Python - OpenSystem
Work Location: Fort Lauderdale, FL 33323
Vendor Rate: XXX/hr
Contract duration: 12months
Target Start Date: 29 May 2026
Job Details:
Must Have Skills
Python (Pandas, NumPy, Scikitlearn, XGBoost),
SQL
java
Nice to have skills
GCP
ML Frameworks & Libraries
Detailed Job Description
Seeking Data Scientist and AIML Engineer with 6 years experience implementing enterprisescale machine learning platforms data science expertise in statistical modeling, predictive analytics, and business intelligence using Python, R, SQL, and advanced analytics frameworks, implementing regression analysis, clustering algorithms, and time series forecastingDeveloped expertise in Generative AI and Large Language Models LLMsHands on experience on Handling Database operations. Cassandra and Postgres
Minimum years of experience
5-8 years
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Cloud Platforms Services
Data Engineering Analytics
High customer orientation
Interview Process (Is face to face required?)
Yes