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Xgboost Jobs (NOW HIRING)

AI Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... XGBoost NLP spaCy, Hugging Face Transformers, NLTK, SentenceTransformers LangChain, LlamaIndex, OpenAI SDK Agentic AI (Good to Have) LangGraph, AutoGen, CrewAI Data & SQL Oracle, MySQL, Nice to have ...

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 ...

Deep understanding of modern machine learning techniques and algorithms including GBM, XGBoost, LGBM, etc.; advanced programming skills in statistical/analytical software (SQL, R, Python, etc.

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar libraries. * Perform feature engineering, dataset preparation, and model optimization ...

Sr. Applied AI/ML Engineer

$117K - $140K/yr

Python, PyTorch, sklearn, xgboost, catboost, mlflow * AWS SageMaker, Airflow Key Responsibilities * Own the design and implementation of data and ML pipelines based on a combination of customer first ...

AI / ML Engineer TECHM-JOB-29139

Dallas, TX · On-site

$113K - $136K/yr

... xgboost, time series frameworks like prophet/or equivalent frameworks • In-depth of big data frameworks like Pyspark & gcp tools like data proc, data proc serverless • Experience designing ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar libraries. * Perform feature engineering, dataset preparation, and model optimization ...

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). * Hands ...

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

... XGBoost and Scikit-learn, constructing deep learning architectures using Keras, and designing time-series forecasting models for event-based user adoption prediction. * Manage CI/CD pipelines using ...

Design, implement, and optimize predictive and statistical models using Gradient Boosting frameworks (XGBoost, LightGBM, CatBoost) and Bayesian modeling (PyMC), applying feature selection and high ...

Data Scientist

$100K - $132K/yr

SARIMA, prophet, xGBoost) * Expert user of Python for data analysis tasks (data cleaning, manipulation, analysis). * Expert user of SQL, especially its use in data analysis tasks. * Experience ...

$103K - $140K/yr

... XGBoost and Scikit-learn, constructing deep learning architectures using Keras, and designing time-series forecasting models for event-based user adoption prediction. * Manage CI/CD pipelines using ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar libraries. * Perform feature engineering, dataset preparation, and model optimization ...

Design, implement, and optimize predictive and statistical models using Gradient Boosting frameworks (XGBoost, LightGBM, CatBoost) and Bayesian modeling (PyMC), applying feature selection and high ...

Showing results 41-60

Xgboost information

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How much do xgboost jobs pay per hour?

As of Sep 10, 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 September 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $75,411 per year, or $36.3 per hour.

AI Engineer

Charlotte, NC • On-site

K Anand Corporation
1 - 10 employees

$111K - $134K/yr

Other

Posted 8 days ago


Job description

Job Role : AI Engineer

Location : Charlotte, NC (LOCAL NEEDED)
Job Type: C2C/W2
Duration:12 Months Contract

Job Description :

Architect and develop AIdriven IVR and conversational systems using PythonBuild NLP models for text classification and clustering to support intent detection and call routingPerform data analysis using SQL Design and deploy LLM workflows prompt engineering, RAG, evaluation for voice and chat use casesLead development of agentic AI workflows for multistep customer interactionsEstablish LLMOps best practices, including monitoring, evaluation, and lifecycle managementPartner with IVR platform, speed.

Minimum years of experience needed in the required skills- 3+ Minimum over all work experience required - 6+ Domain - Telecom, IVR Any certification required - Good to have AI related certifications

Must Have Skills

Python ML NumPy, Pandas, Scikit Learn, XGBoost NLP spaCy, Hugging Face Transformers, NLTK, SentenceTransformers LangChain, LlamaIndex, OpenAI SDK Agentic AI (Good to Have) LangGraph, AutoGen, CrewAI Data & SQL Oracle, MySQL,

Nice to have skills

Architect and develop AIdriven IVR and conversational systems using Python Build NLP models for text classification and clustering to support intent detection and call routing

Regards,

Akanksha Singh

KAnand Corporation

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