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Full Time Entry Level Computer Science Jobs in Atlanta, GA

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Full Time Entry Level Computer Science information

How to get a CS job with no experience?

Entry-level computer science jobs often do not require prior professional experience; instead, candidates should focus on building a strong foundation in programming languages like Python or Java, completing relevant coursework or projects, and gaining practical skills through internships, coding bootcamps, or online certifications. Demonstrating problem-solving abilities and familiarity with tools such as Git and Linux can also improve chances of securing an entry-level position.

What job makes $10,000 a month without a degree?

Full-time entry-level computer science roles typically do not pay $10,000 a month without experience or advanced skills. High-paying tech jobs often require specialized knowledge, certifications, or experience, such as software engineering, data science, or cybersecurity, which usually involve ongoing learning and skill development.

What are full time entry level computer science jobs?

Full time entry level computer science jobs are positions designed for recent graduates or individuals with limited professional experience in computer science. These roles typically focus on foundational tasks such as software development, testing, technical support, or basic data analysis. They provide opportunities to gain practical experience, learn from senior team members, and build skills that are essential for career advancement in technology fields. Employers often look for candidates with a bachelor’s degree in computer science or a related discipline and basic knowledge of programming languages and software development practices.

What are some typical projects or tasks a full-time entry-level computer science employee might work on during their first year?

As a full-time entry-level computer science employee, you'll often be assigned to collaborative projects that involve coding, debugging, and testing software applications under the guidance of more experienced developers. You might work on fixing bugs, developing new features, writing scripts to automate tasks, or supporting system maintenance. Many teams also encourage entry-level employees to participate in code reviews and contribute to documentation, which helps you learn both technical and communication skills. The specific tasks can vary depending on the company and industry, but you'll gain broad exposure to software development processes and tools.

What is the difference between Full Time Entry Level Computer Science vs Software Developer?

AspectFull Time Entry Level Computer ScienceSoftware Developer
Required CredentialsBachelor's in Computer Science or related fieldBachelor's in Computer Science, Software Engineering, or related field
Work EnvironmentCorporate, tech companies, startups, government agenciesTech firms, startups, corporate IT departments
Employer & Industry UsageEntry-level roles across various industriesDeveloping, testing, and maintaining software applications
Common Search & ComparisonYesYes

Full Time Entry Level Computer Science roles typically focus on foundational skills and broad industry applications, while Software Developer positions emphasize coding, software design, and application development. Both roles often require similar educational backgrounds and are found in similar work environments, but Software Developers usually have more specialized technical responsibilities.

What are the key skills and qualifications needed to thrive as a Full Time Entry Level Computer Science professional, and why are they important?

To thrive in a full-time entry-level computer science role, you typically need a solid understanding of programming fundamentals, algorithms, and data structures, usually supported by a bachelor's degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, as well as experience with version control systems such as Git, are commonly required technical qualifications. Strong problem-solving skills, attention to detail, and effective communication help individuals stand out in collaborative and fast-paced environments. These skills and qualities enable new professionals to contribute effectively to projects, adapt to new technologies, and work well within development teams.

What professions make 200,000 a year without a degree?

In the tech industry, roles such as software engineers, data scientists, and cybersecurity specialists can reach or exceed $200,000 annually with relevant skills, experience, and certifications. Many of these positions prioritize technical expertise, problem-solving abilities, and practical knowledge over formal degrees, especially in high-demand areas like cloud computing and machine learning.

What jobs pay $2000 a day?

In the field of computer science, highly specialized roles such as freelance software consultants, cybersecurity experts, or senior software engineers with extensive experience can earn around $2,000 per day, especially when working on contract or consulting projects. These positions typically require advanced skills, certifications, and a strong professional reputation, often involving project-based work or consulting for large organizations.
What are the most commonly searched types of Full Time Computer Science jobs in Atlanta, GA? The most popular types of Full Time Computer Science jobs in Atlanta, GA are:
What are popular job titles related to Full Time Entry Level Computer Science jobs in Atlanta, GA? For Full Time Entry Level Computer Science jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Full Time Entry Level Computer Science jobs in Atlanta, GA look for? The top searched job categories for Full Time Entry Level Computer Science jobs in Atlanta, GA are:
Full Time Entry Level Computer Science jobs near you
Infographic showing various Full Time Entry Level Computer Science job openings in Atlanta, GA as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 4% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Computer Programmer AI and ML

Computer Programmer AI and ML

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

Overview:
Technologies are evolving at a rapid pace, with innovation being driven by advancements in technology itself. Today, information technology is at a crossroads, poised to reach unprecedented levels, as evidenced by substantial investments from large companies amounting to billions of dollars. R2 Technologies is aligning with this change by forming a team dedicated to training professionals from basic to advanced levels.
Do you have a passion for integrating AI and deep learning into the next generation of software development? Do you want to be part of our journey? R2 Technologies is currently seeking motivated, career-oriented, and client-focused Software Engineers specializing in AI and data science. The ideal candidates will have a strong ability to identify and communicate patterns in data and model behavior. In this role, you may collaborate with multiple teams and technologies (machine learning, quality assurance, cloud infrastructure support, user studies) to improve algorithm quality and guide feature development with a data-driven approach, delivering outstanding computer experiences.
Led by Dr. Raju Manthena, CEO of R2 Technologies, we are building a team to provide customers with the most innovative technology services as efficiently as possible. Our core technology prototypes will feature customizable algorithms designed to meet the needs of various industries, including medical, clinical, pharmaceutical, financial, and insurance sectors.
Required Knowledge, Skills and Abilities
  • Ability to lean and write code in SQL, R, or Python for processing large datasets in distributed cloud environments, and learn and adapt in processing and analyzing healthcare data.
  • learn and practice developing, evaluating, and implementing machine learning models.
  • learn and practice in working with clients across disciplines to develop approaches for use in their business core.
  • learn and practice in working in cloud environments .
  • Graduate level understanding of techniques in machine learning, knowledge representation, and artificial intelligence along with a strong understanding of statistics.
  • Knowledge of software development, machine learning, and technology infrastructure
  • Excellent verbal and written communication skills, strong interpersonal skills, along with demonstrated creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing tasks.

Responsibilities include but are not limited to:
  • Research and evaluate emerging AI, data science, and related technologies, such as Generative AI, technical tools and approaches for responsible and trustworthy AI, Quantum, Image Compression and Recall, and Self Supervised Learning.
  • Stay current on published state-of-the-art data science, AI, and analytics methods and applications and seek out opportunities to apply them against client use cases.
  • Develop statistical and advanced analytics models using advanced analytic techniques such as Natural Language Processing, Graph Analytics, Computer Vision, modeling and simulation, Operations Research, anomaly detection, data visualization and metrics creation.
  • Direct and actively contribute to proof-of-concept studies and research prototypes, including creating prototypes to implement data models.
  • Perform knowledge elicitation from client business problems and understanding and convert that to derived algorithms, and lead and guide teams in this knowledge elicitation process.
  • Apply design thinking or other solution-based methods to solve problems consisting of various qualitative activities that support the generation of insightful, human-centered and impactful design solutions.
  • Identify AI challenges in non-AI projects to enhance the capabilities of data scientists by automating repetitive tasks, uncovering patterns, and providing advanced analytics and predictive modeling techniques.
  • Translate technical requirements to agile tasks to prioritize models and data according to the goals and requirements of the client.
  • Perform solution development through white boarding sessions - Algorithmic problems, data manipulation tasks, or other technical challenges related to data science.
  • Communicate findings to diverse technical and non-technical stakeholders, and engage clients to distill complex technical language. Communicate these findings in language and forms appropriate for the full spectrum of technical background and focus, from end users through executive decision makers.
  • Lead and mentor entry-level, mid-level, and senior level practitioners of AI and data science.
  • Shape Internal Research & Development (IRAD) directions in AI, data science, and related scientific areas. Ensure that these directions are aligned with the practice strategy and client needs.
  • Represent ManTech's data and AI practice in the broader community. Example activities include conference participation, formal or information publications, and speaking at client events.

Qualifications:
• Bachelor's degree in computer science, Engineering, or related field. Good to have Master and or Ph.D.
What we offer : The best in the industry -
  1. Medical insurance
  2. Dental
  3. Vision
  4. Life Insurance
  5. 401K with employer contribution
  6. Paid vacation
  7. Immigration sponsorship for those who requires it - (H1 B and Green cord)
  8. Career guidance
  9. Employee referral bonus
  10. Project based - performance allowances.

Skills:
SQL, Spark, and Python,AI,ML

Apply