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Entry Level Deep Learning Jobs in Georgia (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Atlanta, GA

$99K - $232K/yr

... Applying deep learning techniques and neural networks to improve predictive analytics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Motion Recruitment

Recruiter - Entry Level

Atlanta, GA · On-site

$50K/yr

... deep expertise of a dedicated local market team beside you. • Facilitate positive process ... your learning throughout your time at Motion Recruitment • Ongoing one-on-one support and ...

IBM

$14.50 - $19.50/hr

Interest in learning IBM technologies, product offerings, industry trends, competitive landscapes ... By complementing local expertise with global experience and digital capabilities, IBM builds deep ...

IBM

$14.50 - $19.50/hr

Interest in learning IBM technologies, brand offerings, competitive landscapes, industry trends ... By complementing local expertise with global experience and digital capabilities, IBM builds deep ...

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All JobsDeep Learning JobsEntry Level Deep Learning JobsEntry Level Deep Learning Jobs in Georgia

Entry Level Deep Learning information

See Georgia salary details

$15.9K

$69.4K

$152.9K

How much do entry level deep learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for entry level deep learning in Georgia is $69,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,566.00 and $115,541.00 per year, depending on experience, location, and employer.

What are entry level deep learning jobs?

Entry level deep learning jobs are positions designed for individuals who are new to the field of artificial intelligence and machine learning, typically recent graduates or those with limited professional experience. These roles often involve assisting in building, training, and testing neural network models, as well as preprocessing data and supporting senior data scientists or machine learning engineers. Entry level positions may also include tasks such as researching recent advancements, implementing standard algorithms, and contributing to team projects under supervision. A strong foundation in Python, deep learning frameworks like TensorFlow or PyTorch, and an understanding of basic machine learning concepts are usually required.

What are the key skills and qualifications needed to thrive as an entry level deep learning professional?

To thrive as an Entry Level Deep Learning professional, you need a solid understanding of machine learning fundamentals, mathematics (especially linear algebra and calculus), and proficiency in programming languages such as Python. Experience with frameworks like TensorFlow or PyTorch and familiarity with version control systems like Git are typically required. Strong problem-solving abilities, eagerness to learn, and the ability to work collaboratively set candidates apart in this field. These skills and qualities are essential for building, troubleshooting, and improving deep learning models in a rapidly evolving technical landscape.

What are some common challenges faced by entry level deep learning professionals, and how can they be addressed?

Entry-level deep learning professionals often encounter challenges such as understanding complex architectures, managing large datasets, and optimizing model performance. Navigating unfamiliar frameworks and debugging code can also be daunting at first. These challenges can be addressed by seeking mentorship from experienced colleagues, participating in code reviews, and dedicating time to hands-on projects. Additionally, staying updated with the latest research and utilizing online communities or forums can provide valuable support and resources.

What is the difference between Entry Level Deep Learning vs Entry Level Machine Learning?

AspectEntry Level Deep LearningEntry Level Machine Learning
Required CredentialsBachelor's in CS, Data Science, or related; familiarity with neural networksBachelor's in CS, Data Science, or related; basic understanding of algorithms
Work EnvironmentResearch labs, tech companies, AI startupsTech firms, finance, healthcare, and various industries
Employer & Industry UsageAI-focused roles, research institutionsBroader industry applications, including analytics and automation
Common Search & ComparisonOften compared for specialization in neural networks and deep architecturesMore general, covers broader ML techniques

Entry Level Deep Learning focuses on neural networks and complex models, often requiring knowledge of frameworks like TensorFlow or PyTorch. Entry Level Machine Learning covers a wider range of algorithms and techniques. Both roles share foundational skills but differ in specialization and application scope.

What are the most commonly searched types of Deep Learning jobs in Georgia?

The most popular types of Deep Learning jobs in Georgia are:

What are popular job titles related to Entry Level Deep Learning jobs in Georgia?

For Entry Level Deep Learning jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Entry Level Deep Learning jobs in Georgia look for?

The top searched job categories for Entry Level Deep Learning jobs in Georgia are:

Entry Level Deep Learning jobs near you
Infographic showing various Entry Level Deep Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 21% Part Time, 6% Contract, and 3% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $69,380 per year, or $33.4 per hour.

CATT Technical Delivery AI Software Engineer - Fall 2027

RSM

Atlanta, GA • On-site

Full-time

Posted 4 days ago

Job description

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You'll find an environment that inspires and empowers you to thrive both personally and professionally. There's no one like you and that's why there's nowhere like RSM.

Junior AI/ML Engineer

JOB SUMMARY

The Associate - Junior AI/ML Engineer supports the development, testing, and deployment of AI and machine learning solutions that enhance business capabilities. This entry-level role provides hands-on experience working with data and models while building foundational knowledge in AI engineering practices.

ESSENTIAL DUTIES

  • Assist in designing, developing, and testing machine learning models for tasks such as classification, regression, clustering, and recommendations.

  • Support preprocessing and basic analysis of datasets using standard data tools.

  • Work withdata scientists, engineers, and product teams to help integrate models into production systems.

  • Assist with experiments and model evaluations, documenting results for senior team members.

  • Stay up to date with the latest AI/ML research and contribute to team knowledge sharing.

SUCCESSFUL CHARACTERISTICS / SKILLS

  • Experience & Background

  • 1-2 years of experience in machine learning, data science, or software development (internship or academic projects acceptable).

  • Core Technical Proficiency

  • Familiarity with Python and major ML frameworks (e.g., TensorFlow,PyTorch, scikit-learn).

  • Basic knowledge of data manipulation and visualization tools.

  • Broad understanding of machine learning principles and algorithms.

  • MLOps & Deployment

  • Awareness of MLOps practices and tools, such as version control, containerization, or model monitoring.

  • Advanced Methods

  • Foundational understanding of deep learning, natural language processing (NLP), or computer vision concepts.

  • Professional Traits

  • Ability to work independently with guidance and take initiative on assigned tasks.

  • Strong analytical and problem-solving skills with eagerness to learn and grow.

  • Ability to clearly document and communicate findings.

EDUCATION/CERTIFICATION REQUIREMENTS

  • Bachelor's degree in computer science, data science, engineering, mathematics, or a related field (or equivalent practical experience).

  • Azure AI Fundamentals or similar entry-level certification (preferred).

At RSM, we offer a competitive benefits and compensation package for all our people.We offer flexibility in your schedule, empowering you to balance life's demands, while also maintaining your ability to serve clients.Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.

All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership.RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.

RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information.

At RSM, an employee's pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $70,400 - $84,000

Individualsselected for this role will be eligible for a discretionary bonus based on firm and individual performance.

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