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.

Data Engineering Manager

Company: Accenture

Location: Atlanta, GA

Posted Jan 24, 2025

Analytics Strategy Consultant

Company: Accenture

Location: Atlanta, GA

Posted Jan 24, 2025

SOX IT Controls Consultant

Company: Accenture

Location: Atlanta, GA

Posted Jan 24, 2025

Accenture is seeking a SOX IT Controls Consultant for a remote position in the US. The role involves ensuring Accenture's compliance with Sarbanes-Oxley legislation on the IT side of internal operations. Responsibilities include coordinating and tracking SOX IT General Controls activities, assisting with access reviews, assessing new IT systems, reviewing vendor SOC1 reports, and maintaining process/controls documentation. The ideal candidate should have a Bachelor's degree in Computer Science or Accounting, at least 3 years of SOX Compliance experience, and strong communication and analytical skills. Industry certifications, Big4 Accounting firm experience, and knowledge of the IT environment are preferred. Accenture is committed to diversity and inclusion.

Workday Integrations Consultant

Company: Accenture

Location: Atlanta, GA

Posted Jan 24, 2025

Accenture is seeking a Workday Integrations Consultant to join their global team of innovators. The role involves comprehending data integrations, identifying and solving complex business problems, designing and supporting integration code bases, and collaborating with clients and third parties. The successful candidate will have existing Workday Integrations Partner Certification, 2+ years of consulting experience, and 3+ years of experience in modern integration technologies. Accenture offers opportunities for continuous learning, professional development, and working on enterprise-wide transformational projects. The company values diversity and inclusion, and the role requires a passionate, proactive, collaborative, and creative individual.

Regional Vice President, Enterprise Sales - Southeast Territory (Remote)

Company: Grand Rounds Health

Location: Atlanta, GA

Posted Jan 24, 2025

Included Health, a tech-driven healthcare company, is seeking an Enterprise Sales Director. The role involves selling the company's suite of products to large employers (5,000-20,000 employees) to enhance their healthcare offerings. The ideal candidate should have 7+ years of sales experience, a proven track record in the enterprise segment, and strong relationship-building skills. The company, recognized as a 2019 Best Place to Work and a UCSF Digital Health Award winner, aims to revolutionize healthcare through technology.

AWS Connect

Company: Accenture

Location: Atlanta, GA

Posted Jan 24, 2025

Veterinary Assistant - 000285

Company: Banfield Pet Hospital

Location: Norcross, GA

Posted Jan 24, 2025

Banfield Pet Hospital offers rewarding Veterinary Assistant careers. These professionals work closely with other pet health care experts, advocating for pets and educating clients on pet health. They support veterinarians and technicians, ensuring pet and client safety, and maintaining cleanliness. Vet Assistants at Banfield use their technical skills daily, communicate effectively, and mentor team members. Benefits include 401(k) participation, paid time off, and Optimum Wellness Plans for pets. Banfield supports professional growth with development plans, learning opportunities, and community involvement.

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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