Machine Learning Jobs in Atlanta, GA

15,694 open positions · Updated daily

Looking for Machine Learning jobs in Atlanta, GA? Browse our curated listings with transparent salary information to find the perfect Machine Learning position in the Atlanta, GA area.

Service Technician

Company: Coca-Cola

Location: Savannah, GA

Posted Jan 24, 2025

Management Trainee

Company: Enterprise Mobility

Location: Newnan, GA

Posted Jan 24, 2025

Advisory Manager

Company: ZS

Location: Atlanta, GA

Posted Jan 24, 2025

Sales Management Trainee

Company: Enterprise Mobility

Location: Dublin, GA

Posted Jan 24, 2025

Enterprise Mobility is currently hiring for its Management Training Program, offering a clear career path with opportunities in various fields. The position includes comprehensive training, mentoring, and a robust benefits package such as competitive compensation, health insurance, 401(k) retirement plan, and employee discounts. The role involves serving as a face of the company, handling customer service, sales, marketing, finance, and operations. The ideal candidate must have a Bachelor's degree, a valid driver's license, and authorization to work in the US.

Sales Management Trainee

Company: Enterprise Mobility

Location: Tifton, GA

Posted Jan 24, 2025

Enterprise Mobility is currently hiring for its Management Training Program, offering a clear career path with opportunities in various fields. The role involves serving as a face of the company, handling customer service, sales, marketing, finance, and operations. The company provides comprehensive benefits, including competitive compensation, health insurance, 401(k) retirement plan, and employee discounts. The position requires a Bachelor's degree, a valid driver's license, and authorization to work in the US.

Tax Senior Manager - DART (Depreciation Analysis and Reporting Tool)

Company: Deloitte

Location: Atlanta, GA

Posted Jan 24, 2025

Deloitte is seeking a Tax Senior Manager for the FTS-DART group. The role involves providing tax consulting and compliance services to a diverse client base, managing engagement teams, and overseeing complex federal tax compliance projects. The ideal candidate should have 8+ years of experience in core federal tax compliance, a relevant degree, and active accreditations like CPA, attorney, or Enrolled Agent. Preferred qualifications include advanced degrees, Big 4 experience, and strong communication skills. The role offers opportunities for professional development and a competitive wage range of $131,740 to $299,910.

Registered Nurse

Company: DaVita

Location: Peachtree City, GA

Posted Jan 24, 2025

Tax Manager - Financial Svcs-Hedge Fund Tax (East Region City Locations)

Company: Deloitte

Location: Atlanta, GA

Posted Jan 24, 2025

Deloitte Tax LLP is seeking a Tax Manager with 5+ years of experience in tax planning services or preparing and reviewing client work papers and income tax returns. The ideal candidate should have a solid understanding of Subchapter K, financial products, wash sale and constructive sale rules, and aggregate allocations. They will identify complex tax issues, provide tax analyses, and manage projects. The role involves coordinating with clients, training and supervising staff, and attending training for personal development. Deloitte offers a competitive wage range of $84,980 to $193,440, along with potential annual incentives and a diverse, inclusive culture.

Scientist, Product Development

Company: Coca-Cola

Location: Atlanta, GA

Posted Jan 24, 2025

The Global Development and Innovation (GDI) Center in Atlanta, GA, is central to The Coca-Cola Company's innovation in beverages, focusing on product development, packaging, and equipment development. As a Product Developer, you'll lead projects in the Tea Category, contributing to portfolio growth by developing new or enhancing existing beverages. This role requires technical knowledge, creativity, and trend awareness, with strong digital and collaboration skills needed to leverage Coca-Cola's global network. Key responsibilities include working in cross-functional teams, executing recipe development, innovation, prototyping, communication, system understanding, sustainability integration, risk management, external focus, market insights, and digital savviness for innovation.

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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