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Entrylevel Machine Learning Engineer Jobs in Norcross, GA

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Collaborate with university partners and other scientists and engineers in a multidisciplinary work ... machine learning, artificial intelligence, and deep learning techniques * 7+ years of total ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Collaborate with university partners and other scientists and engineers in a multidisciplinary work ... machine learning, artificial intelligence, and deep learning techniques * 7+ years of total ...

RELX

Senior ML Ops Engineer

Atlanta, GA

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

Yantran LLC

Sr. Software Engineer

Alpharetta, GA

$111K - $134K/yr

Machine Learning Engineer / Data Scientist We are seeking a skilled and innovative Machine Learning Engineer / Data Scientist with expertise in Google Cloud Platform (GCP), Databricks, Kubernetes ...

SynergisticIT

Junior Software Engineer

Atlanta, GA · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers for full-time ...

SynergisticIT

AI / ML Engineer

Atlanta, GA · On-site +1

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Data Scientists & Machine Learning Engineers * Data Engineers * Required & Preferred Skills * Java ...

Tata Consultancy Services

Agentic AI Engineer

Atlanta, GA

$110K - $132K/yr

... machine learning models for classification, regression, NLP, or computer vision tasks. • Write ... teams (data engineers, researchers, and product managers) to integrate AI/ML solutions into ...

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All JobsEntrylevel Machine Learning Engineer JobsEntrylevel Machine Learning Engineer Jobs in Norcross, GA

Entrylevel Machine Learning Engineer information

See Norcross, GA salary details

$29.5K

$120.8K

$181.5K

How much do entrylevel machine learning engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for entrylevel machine learning engineer in Norcross, GA is $120,758.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $145,400.00 per year, depending on experience, location, and employer.

Can I get into AI with no experience?

Entry-level machine learning engineer roles typically require some background in programming, mathematics, and data analysis, but many employers are open to candidates with foundational skills and a willingness to learn. Gaining experience through online courses, projects, and certifications in tools like Python and machine learning frameworks can help you qualify for such positions. Building a portfolio and understanding core concepts can improve your chances of entering the AI field without prior professional experience.

What engineers make $500,000?

Highly experienced senior engineers in fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with bonuses, stock options, or in high-cost-of-living areas. Achieving this level typically requires advanced skills, extensive experience, and often leadership roles or specialized expertise in high-demand technologies.

What is the difference between Entrylevel Machine Learning Engineer vs Data Scientist?

AspectEntrylevel Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Math, or related; some knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, implements algorithms, collaborates with engineering teamsAnalyzes data, builds statistical models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles involve working with data and algorithms, an Entrylevel Machine Learning Engineer primarily focuses on developing and deploying machine learning models within software systems. In contrast, a Data Scientist emphasizes analyzing data, creating statistical models, and deriving insights. Both roles often require similar educational backgrounds, but their day-to-day tasks and industry applications differ.

Can I learn ML in 3 months?

As an entry-level machine learning engineer, gaining foundational knowledge in ML within three months is possible with intensive study, focusing on programming (Python), algorithms, and tools like scikit-learn or TensorFlow. However, developing deep expertise and practical experience typically requires longer, ongoing learning and project work.

Which 5 jobs will survive AI?

For entry-level machine learning engineers, roles that require complex problem-solving, creativity, and human judgment—such as data science, AI ethics, research scientist, AI product management, and specialized software development—are likely to persist despite AI advancements. These positions often involve designing, overseeing, and interpreting AI systems, which require deep domain knowledge and critical thinking that AI tools currently cannot fully replicate.
What cities near Norcross, GA are hiring for Entrylevel Machine Learning Engineer jobs? Cities near Norcross, GA with the most Entrylevel Machine Learning Engineer job openings:
Entrylevel Machine Learning Engineer jobs near you
Vertex AI Machine Learning Architect

Vertex AI Machine Learning Architect

CirrusLabs

Alpharetta, GA • Remote

$62.25 - $80/hr

Other

Posted 22 days ago

Job description

We are CirrusLabs. Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.
You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.
You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented to join our team. If you're excited to be part of a winning team, CirrusLabs (http://www.cirruslabs.io) is a great place to grow your career.
We are looking for candidates having hands on experience as a Vertex AI Machine Learning Architect. The Vertex AI Machine Learning Architect will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. The ideal candidate will have a strong background in machine learning, experience with Google Cloud services, and a passion for solving complex problems with AI. Conceptualize, design, and implement AI models, algorithms, and systems to solve complex business problems.

  • Research and stay up to date with the latest AI technologies and techniques, recommending and implementing their application as appropriate.
  • Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions.
Responsibilities:
  • Design, develop, and deploy machine learning models using Vertex AI.
  • Integrate Vertex AI with other Google Cloud services such as AlloyDB, BigQuery, Cloud Storage, and Dataflow.
  • Utilize AutoML capabilities to create high-quality models with minimal manual effort.
  • Develop custom training pipelines for more complex machine learning tasks using frameworks like TensorFlow and PyTorch.
  • Implement and manage Vertex AI Pipelines for orchestrating end-to-end machine learning workflows.
  • Monitor and optimize model performance post-deployment, ensuring models remain accurate and efficient over time.
  • Collaborate with data scientists, software engineers, and other stakeholders to understand business requirements and translate them into effective AI solutions.
  • Perform hyperparameter tuning to enhance model performance.
  • Utilize Vertex AI Feature Store for feature management and reuse.
  • Conduct online and batch predictions using Vertex AI prediction services.
  • Adhere to MLOps best practices for model versioning, deployment, and lifecycle management.
Requirements:
  • Proven experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Hands-on experience with Google Cloud Platform (Google Cloud Platform) services, specifically Vertex AI.
  • Strong programming skills in Python or a similar language.
  • Familiarity with data processing tools like Apache Beam, Dataflow, or similar.
  • Understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
  • Experience with AutoML tools and techniques.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication and collaboration skills.

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