Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

ABC Supply is North America’s largest wholesale distributor of exterior and interior building products. ABC Supply is...

Fulltime Data Science Ai

Fully remote

Zendesk's people have one goal in mind: to make Customer Experience better. The Enterprise Machine Learning team driv...

Fulltime Remote Ai Ai Engineer

Fully remote

Meta is seeking a Research Scientist to join its Fundamental AI Research (FAIR) organization, focused on making signi...

Fully remote

ABOUT YOU: Are you energized by the opportunity to build and scale AI solutions that create real business impact? Do ...

Fulltime Ai Ai Engineer Machine Learning

$28k* · Senior Fully remote

אנחנו מחפשים ג'וניור/ית מוכשר/ת עם תשוקה אמיתית לתחום, שרוצה לבנות איתנו את הדור הבא של האוטומציות מבוססות ה-AI בארגו...

Fulltime Ai Ai Engineer Generative Ai

Fully remote

Sophia Malik Oct 28, 2025 Stellar Technologies is seeking a Machine Learning Engineer (GenAI) to design, build, and d...

Fulltime Ai Machine Learning Data Science

Fully remote

From wood to pulp to fiber – this is Lenzing. We weave innovation and respect into sustainability. Our technology ins...

Remote Ai Ai Engineer Generative Ai

Fully remote

Who We Are We operate beyond organizational silos, combining deep expertise in data engineering and AI-driven solutio...

Ai Machine Learning Mlops Data Engineer

Fully remote

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagn...

Fulltime Ai Ai Engineer

Fully remote

Pharmanutra è un gruppo di imprese specializzate nella ricerca, nello sviluppo e nella distribuzione di prodotti inno...

Internship Data Science Ai

Fully remote

Il Gruppo Unoenergy è un punto di riferimento nel settore energetico, attivo dal 2003 nel mercato libero del gas natu...

Ai Ai Engineer

Fully remote

Bij Data Consulting Group geloven we dat data en AI pas écht waarde hebben als ze bedrijven verder helpen. Niet als m...

Fulltime Ai Machine Learning Data Science

Fully remote

du poste Contexte ECARIS Consulting accompagne des grands groupes internationaux dans leurs transformations Data, Clo...

Fulltime Remote Ai Ai Engineer

Fully remote

du poste Contexte Notre client est un acteur international de référence du secteur de l’hôtellerie, engagé dans un pr...

Fulltime Ai Engineer Data Science Generative Ai

Fully remote

Remote Our client seeks a Python-heavy MLOps engineer to own coding, debugging, and maintenance for a fast-evolving p...

Machine Learning Data Science Mlops Ai

$77k · Senior Fully remote

THIS ROLE IS NOT OPEN TO C2C, VISA SPONSORSHIP, or THIRD PARTIES CONTRACT TO HIRE (EST or CST) We are seeking a highl...

Ai Machine Learning Data Science Mlops

$119k · Senior Fully remote

MLOps engineer Location- Hybrid-In office 2x - 3x days a week/Chicago IL Interview-2 rounds virtual interview Positio...

Ai Machine Learning Mlops

$93k · Senior Fully remote

Dans le cadre de l?amélioration de la personnalisation de l?expérience utilisateur, nous constituons une équipe dédié...

Ai Machine Learning Data Science

Fully remote

du poste Taux journalier (TJM): 580€/jour Contexte Tu rejoindras la Data team qui est composée de Data Scientists, Da...

Contract Machine Learning Data Science Ai

Fully remote

Machine Learning Engineer - Python & C# - Nottingham/ Hybrid 3 month contract initially. - Outside IR35 We're looking...

Contract Machine Learning Data Science Ai

Fully remote

Selected role

Data Scientist (944)

ABC Supply Co., Inc. Chicago, IL, US

Senior Full-time

ABC Supply is North America’s largest wholesale distributor of exterior and interior building products.

ABC Supply is proud to be an employee-first company. In fact, we have won the Gallup Exceptional Workplace Award every year since its inception in 2007, and Glassdoor has named us one of the best places to work in the country. Be part of a company that recognizes your talents, rewards your efforts, and helps you reach your full potential. At ABC Supply, we have YOUR future covered.

ABC Supply is currently seeking a Data Scientist to deliver advanced analytics solutions for the enterprise. ABC has built a world-class analytics platform in Azure using products like Data Lake and Databricks. You will be working on the leading edge of data science for the distribution industry, focusing on developing and deploying solutions that drive business value and improve operational efficiency. As a member of the Data and Analytics team at ABC, you will be delivering high-impact solutions driven by our executive leadership.

The Data Scientist will report to the Manager of Data Science and partner with their functional team. This team will organize around a business domain and consist of a product manager, engineers (data, BI, and software), and specialists/analysts. The Data Scientist is responsible for solution development, data exploration, and model building across a range of business problems. They will work closely with the business to understand operations and the data supporting those operations, identify data sources (both internal and external), and collaborate with data engineers to create the data pipelines needed to support analytic solutions.

This role is ideal for someone who has a strong foundation in machine learning and statistics, writes clean and reproducible code, and is eager to grow into advanced areas such as GenAI/LLM applications, MLOps, or deep learning within an enterprise setting.

Responsibilities:

Develop machine learning and statistical models for a variety of use cases, including classification, clustering/segmentation, optimization, forecasting, and natural language processing.
Wrangle, cleanse, and transform data from multiple sources to enable solution development.
Carry out ad-hoc or targeted analyses to answer business or technical questions for a wide variety of stakeholders in the organization.
Collaborate with project stakeholders to gather requirements, data, and other information necessary to achieve project goals, and to develop strategic solutions to ensure that project goals are achieved.
Work closely with data engineers to design and build the data pipelines that feed analytic solutions.
Actively participate in the software development lifecycle for data science-based applications, including design and development, testing, deployment, and support.
Support the ongoing maintenance and enhancement of deployed models, including monitoring model performance and data drift.
Leverage AI-powered coding and development tools (e.g., GitHub Copilot) to accelerate development workflows, improve code quality, and increase personal productivity.
Create and maintain documentation using appropriate tools, including wikis for narrative documentation and version-controlled repositories for technical documentation.
Research opportunities for new model usage and new uses for existing data.
Stay current on advances in machine learning, statistical modeling, deep learning, and GenAI/LLM techniques and proactively identify opportunities to apply them.
Operate in an agile environment intended to facilitate iterative development and continuous delivery.
Effectively communicate with colleagues on both technical and non-technical topics, across a variety of communications platforms.

Qualifications:

Master's degree in a quantitative discipline (e.g., Statistics, Engineering, Sciences), or equivalent practical experience.
1-3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis.
Demonstrable understanding and practical experience with a range of machine learning, statistical modeling, and/or operations research techniques, with depth in at least one core domain: supervised learning, time-series forecasting, clustering/segmentation, or optimization.
Significant experience with common packages used for data wrangling (e.g., pandas, tidyverse), modeling (e.g., scikit-learn, caret/tidymodels), and data visualization (e.g., seaborn, matplotlib, ggplot2).
Understanding of descriptive and inferential statistics, e.g. hypothesis testing, confidence intervals, distributions, correlations.
Understanding of the steps involved in the machine learning life cycle, including data selection and preparation, feature engineering, model training, model selection, model testing (cross-validation, A/B testing), model interpretation, and inference.
Basic understanding of data management principles and architectures, including data warehouses, data lakes, and lakehouses, as well as the data integration (ETL/ELT) tools around them.
Experience with at least one enterprise data visualization tool (Tableau preferred).
Experience with one or more cloud data platforms — Azure and Databricks preferred.
Openness to adopting AI-powered development tools and assistants to enhance coding speed, debugging, and workflow efficiency.
Enjoy working in a collaborative, team environment. Data science projects involve technical professionals from data engineering, DevOps, business intelligence, and business experts, and it is essential to develop and maintain positive relationships with these professionals.
Strong communication skills, comfortable explaining technical concepts in common business terms to the business community and technical professionals from different backgrounds.
Strong technical aptitude with a passion for continuous learning.

Preferred:

Familiarity with experiment tracking and model management tools (e.g., MLflow).
Exposure to GenAI/LLM concepts: prompt engineering, retrieval-augmented generation (RAG), embeddings, or fine-tuning.
Exposure to deep learning frameworks (e.g., PyTorch, TensorFlow).
Familiarity with operations research concepts such as linear programming, mixed-integer programming (MIP), or combinatorial optimization — applied to problems like vehicle routing, inventory optimization, or resource allocation.
Experience with version control systems (Git) and collaborative development workflows.
Understanding of MLOps principles: model deployment, monitoring, automated retraining.
Familiarity with agile or Scrum methodologies.

Benefits may include:

Health, dental, and vision coverage - eligible after 60 days, low out of pocket
401(k) with generous company match - eligible after 60 days, immediately vested
Employer paid employee assistance program
Employer paid short term and long-term disability
Employer paid life insurance
Flex spending
Paid vacation
Paid sick days
Paid holidays

**Salary Information: $90,000K - $130,000 based on experience.

Equal Opportunity Employer / Drug Free Workplace

ABC Supply values diversity and we actively encourage women, minorities, and veterans to apply.

Showing 2141–2160 of 11,269 AI roles

1 … 106 107 109 110 564

Find your next AI role

Data Scientist (944)

Senior Machine Learning Engineer

Research Scientist, AI, Formal and informal Reasoning

AI Engineer

AI Engineer (Junior)

Machine Learning Engineer - Generative AI (LLMs / RAG / Agentic AI)

AI Engineer

AI Azure ML Engineer

Senior AI Engineer

Stage/Tirocinio Data Scientist

UN/A JUNIOR AI ENGINEER

Consultant Data Scientist

AI Engineer - Poste Permanent - Freelance

AI Engineer Senior - GenAI / LLMOps - Freelance

Python MLOps Engineer

AI/MLOps Engineer

MLOps engineer

ML Engineer Google Cloud (Python, Vertex AI, BigQuery) (IT)

Senior Data Scientist - Freelance

Machine Learning Engineer