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Senior Automl Jobs (NOW HIRING)

AT and T

Senior Data Scientist

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AutoML tools). * Model Development, Deployment and Optimization: Build, evaluate, and optimize ... Our Senior Data Scientist jobs earn between $139,000.00 - $233,500.00 USD Annual. Not to mention ...

AT&T

Senior Data Scientist

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AutoML tools). * Model Development, Deployment and Optimization: Build, evaluate, and optimize ... Our Senior Data Scientist jobs earn between $139,000.00 - $233,500.00 USD Annual. Not to mention ...

JP Morgan Chase

Applied AI/ML - Senior Associate

Chicago, IL · On-site

  • Medical

  • Retirement

As an Applied AI/ML Senior Associate within the CIB Technology team at JPMorganChase, you will play ... Develop end-to-end ML/AutoML/AutoNLP pipelines and operationalize the end-to-end orchestration of ...

AT&T

Senior Data Scientist

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AutoML tools). * Model Development, Deployment and Optimization: Build, evaluate, and optimize ... Our Senior Data Scientist jobs earn between $139,000.00 - $233,500.00 USD Annual. Not to mention ...

Epicor

Product Manager, Sr

Lehi, UT · On-site

$118K - $156K/yr

Senior Product Manager At Epicor, we're building the world's first cognitive ERP, and we're seeking ... Hands-on experience with AI/ML frameworks (PyTorch, scikit-learn, SageMaker, AutoML). * Experience ...

Epicor

Product Manager, Sr

Minneapolis, MN · On-site

$132K - $174K/yr

Senior Product Manager At Epicor, we're building the world's first cognitive ERP, and we're seeking ... Hands-on experience with AI/ML frameworks (PyTorch, scikit-learn, SageMaker, AutoML). * Experience ...

Epicor

Product Manager, Sr

Austin, TX · On-site

$125K - $165K/yr

Senior Product Manager At Epicor, we're building the world's first cognitive ERP, and we're seeking ... Hands-on experience with AI/ML frameworks (PyTorch, scikit-learn, SageMaker, AutoML). * Experience ...

Tiger Analytics, LLC

Senior Data Scientist

Saint Louis, MO · On-site

$90 - $120/hr

You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML to generate reliable, actionable insights. Partnering closely with business ...

DataRobot

Agentic AI Intern

San Francisco, CA · Remote

  • Medical

  • Dental

  • Vision

Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design ... How to present technical work clearly to senior leaders at a live Intern Showcase PROGRAM STRUCTURE:

DataRobot

Agentic AI Intern

Boston, MA · Remote

  • Medical

  • Dental

  • Vision

Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design ... How to present technical work clearly to senior leaders at a live Intern Showcase PROGRAM STRUCTURE:

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As of Aug 18, 2026, the average yearly pay for senior automl in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

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Senior Data Scientist

AT and T

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

AT&T rating

7.3

Company rating: 7.3 out of 10

Based on 729 frontline employees who took The Breakroom Quiz

53rd of 99 rated telecommunications companies

Job description

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.
Overall Purpose: This role will co-own critical AI deliverables for AT&T Finance Operations, supporting Treasury/Payments, Billing Operations and Corporate Financial Planning deliverables. Significant experience with these partners, their KPIs, processes and business challenges is preferred.
You will translate business problems into actionable insights through a comprehensive workflow involving coding, data extraction, cleansing, feature engineering, exploratory data analysis, model creation and tuning, visualization, and deployment, leveraging statistical analysis, machine learning, and big data technologies to drive informed decision-making and innovation.
Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following:
  • Data Extraction and Preparation: Collect data from various structured and unstructured sources (datalakes, databases, data warehouses, on cloud, internal, external) and ensure its quality for analysis through cleaning and preprocessing. Designs, builds, and analyzes large (e.g. 100's of Terabytes or higher as technology advances) and complex data sets while thinking strategically about data use and data design. Tools can include
  • Coding Solutions, Algorithms and Feature Engineering: Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining, business process and/or system implementations, high level proof of concept and trials, visualization, deployment to production, post deployment ML ops monitoring/diagnosis/resolutions. Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well as expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and/or AutoML tools).
  • Model Development, Deployment and Optimization: Build, evaluate, and optimize machine learning models through hyperparameter tuning. Implement models into production, continuously monitor their performance, and ensure they remain explainable and reliable to minimize model decay. Ability to develop custom Machine Learning (ML). Highly proficient in the full AI workflow such as (1) data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining and (2) Uses concepts like mlflow to log metrics. Well-versed in Interactive Development Environments (IDEs) such as Databricks Workspaces or Visual Studio Code. Proficiency in algorithm categories such as Supervised Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, Deep Reinforcement Learning, Search Algorithms, and AI- Knowledge Graphs.
  • Visualization and Collaboration: Create visualizations and reports for stakeholders while working closely with cross-functional teams to align efforts with business objectives. Can utilize advanced coding methods to produce visualizations (e.g. ggplot, D3.js, etc.).
  • Generative AI: Develop and implement generative AI models, focusing on creating new content or augmenting existing data. Generative Models-Understanding of GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers. Fine-Tuning-Techniques for adapting pre-trained models to specific tasks using smaller, task-specific datasets. Agentics-Understanding of agentic architecture, concepts and optimization of solutions. Prompt Engineering-Crafting effective prompts to guide generative models in producing desired outputs. Retrieval-Augmented Generation (RAG)-Combining generative models with retrieval systems to enhance performance and relevance. Text Generation-Proficiency in using models like GPT-3/4 for generating human-like text. Image Generation-Familiarity with tools like DALL-E and Stable Diffusion for creating images from text descriptions.

Job Contribution: An experienced professional with advanced, interdisciplinary knowledge, resolving difficult and complex issues using broad professional concepts. Guides others, applying advanced principles and company practices. Leads moderate sized projects (or parts of larger projects) with strategic value. Operates autonomously with frequent senior leadership interaction.
Supervisor: No
TCP Career Step Differentiator: Performs complex data science work, build business models, and makes recommendations for improvements.
Education/Experience: Master's degree (MS/MA) required from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics. 3+ years of related experience. Certification is required in some areas.
Our Senior Data Scientist jobs earn between $139,000.00 - $233,500.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:
  • Medical/Dental/Vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
  • Paid Parental Leave
  • Paid Caregiver Leave
  • Additional sick leave beyond what state and local law require may be available but is unprotected
  • Adoption Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • Employee Assistance Programs (EAP)
  • Extensive employee wellness programs
  • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

Weekly Hours:
40
Time Type:
Regular
Location:
Atlanta, Georgia, Dallas, Texas
Salary Range:
$139,000.00 - $233,500.00
AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.

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