Machine Learning Jobs in Atlanta, GA

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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.

Network Engineer, Foundation and Support

Company: Meta

Location: Conyers, GA

Posted Jan 23, 2025

Meta's Edge & Network Services (ENS) team is seeking a Network Engineer with extensive experience in cable infrastructure and fiber connectivity solutions. The role involves supporting data center construction and network deployment, generating network infrastructure design packages, and partnering with software teams. The ideal candidate should have a Bachelor's degree in a relevant field, 7+ years of experience in large-scale data center network infrastructure, and knowledge of structured cabling and fiber optic infrastructure. They should also have experience leading cross-functional teams and driving large-scale data center projects. The role requires 25% to 40% travel and offers a salary range of $133,000/year to $190,000/year, plus bonus, equity, and benefits.

Retail Sales Associate - N Georgia Premium

Company: Gap Inc.

Location: Dawsonville, GA

Posted Jan 23, 2025

Gap, an iconic American brand, is seeking a customer service-oriented individual to engage and connect with customers, providing excellent service and product expertise. The role involves assisting customers, offering style suggestions, promoting loyalty programs, and ensuring a seamless omni-channel experience. The ideal candidate is a good communicator, problem solver, and team player, with the ability to handle customer interactions professionally. Benefits include merchandise discounts, competitive Paid Time Off, volunteer hours, extensive 401(k) plan, and comprehensive insurance. Gap Inc. is committed to diversity and inclusion, recently recognized by Forbes as one of the World's Best Employers and Best Employers for Diversity.

Machine Operator

Company: Coca-Cola

Location: College Park, GA

Posted Jan 23, 2025

Registered Nurse

Company: DaVita

Location: Atlanta, GA

Posted Jan 23, 2025

Operations & Technology Transformation, Guidewire Developer - ETL/Data Migration - Senior Consultant

Company: Deloitte

Location: Atlanta, GA

Posted Jan 23, 2025

Deloitte's Operations and Technology Transformation team offers market-leading expertise in various sectors, including Insurance. They advise, design, implement, and deploy innovative technology-enabled solutions. The ideal candidate for the Senior Consultant, Operations & Technology Transformation, Insurance, Guidewire Developer - ETL/Data Migration role is curious, analytical, and confident with a passion for the insurance industry. They should have extensive experience in Property & Casualty Insurance Solutions with Guidewire, Duck Creek, Majesco, or similar packages, and 4 years of hands-on ETL experience with Informatica and/or Microsoft SSIS. The role involves leading client interactions, defining systems strategy, developing system requirements, and managing large-scale system implementations.

Sr. Workday Technical Consultant

Company: Deloitte

Location: Atlanta, GA

Posted Jan 23, 2025

Customer Service Associate

Company: Walgreens

Location: Valdosta, GA

Posted Jan 23, 2025

Tax Senior, Business Tax Services - Fed/Corporate (East Coast)

Company: Deloitte

Location: Atlanta, GA

Posted Jan 23, 2025

Deloitte's Business Tax Services (Federal tax) practice is seeking a strategic and creative federal tax professional. The role involves providing tax compliance, planning, controversy, and research services to global and dynamic midsize clients. Responsibilities include reviewing tax returns, coordinating with client departments, researching tax legislation, and assisting with consulting projects. The ideal candidate should have a Bachelor's degree in accounting or finance, 3+ years of federal taxation experience, and one of the following active accreditations: CPA, Attorney, Enrolled Agent, CFA, or CFP. A hybrid work model is required, with US Tax professionals needing to co-locate in person 2-3 days per week. The wage range is $63,420 to $144,300.

Customer Service Associate

Company: Walgreens

Location: McDonough, GA

Posted Jan 23, 2025

Management Trainee

Company: Enterprise Mobility

Location: Roswell, GA

Posted Jan 23, 2025

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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