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Entrylevel Machine Learning Engineer Jobs in Duluth, GA

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 ...

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 ...

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 ...

We are seeking a Robotics Engineer that has Embedded Software Engineering experience in designing ... Familiarity with robotics frameworks (ROS 2) and machine learning is a plus. Key Responsibilities

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entrylevel Machine Learning Engineer information

See Duluth, GA salary details

$29K

$118.5K

$178.1K

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

As of Jun 12, 2026, the average yearly pay for entrylevel machine learning engineer in Duluth, GA is $118,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,400.00 and $142,700.00 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 Duluth, GA are hiring for Entrylevel Machine Learning Engineer jobs? Cities near Duluth, GA with the most Entrylevel Machine Learning Engineer job openings:

Sr. Software Engineer

Yantran LLC

Alpharetta, GA

$111K - $134K/yr

Other

Posted 25 days ago


Job description

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, and Generative AI. This role involves designing and deploying scalable ML solutions, integrating cutting-edge generative models, and establishing robust monitoring systems to ensure performance and reliability in production environments.

Key Responsibilities:

  • Design, develop, and deploy ML models and AI solutions using GCP and Databricks.
  • Build scalable data pipelines and ML workflows using Spark, Delta Lake, and GCP services (BigQuery, Vertex AI, Cloud Functions).
  • Containerize and orchestrate ML applications using Docker and Kubernetes.
  • Integrate and fine-tune Generative AI models (e.g., LLMs, decoder models) for tasks such as summarization, content generation, and intelligent automation.
  • Experience implementing RAG pipelines using Vertex AI, GCP's AI Embeddings API, and vector search capabilities in Google Cloud's Vertex AI Matching Engine to enable scalable semantic retrieval for LLM-based applications.
  • Proficient in managing embedding generation and indexing workflows within GCP, including integration with BigQuery, Cloud Storage, and Vertex AI Feature Store to support real-time and batch retrieval for generative AI use cases.
  • Establish end-to-end monitoring for ML systems in GCP using tools like Cloud Monitoring, Vertex AI Model Monitoring, and Cloud Logging.
  • Define and track key performance metrics such as Model accuracy, precision, recall, F1-score etc.
  • Implement MLOps best practices using MLflow, Vertex AI Pipelines, and CI/CD frameworks.
  • Ensure compliance with data governance, privacy, and security standards.

About Us:

At *** (*** | Connected World, Connected Experiences), we live the philosophy of connected world and connected experiences. We thrive on change that is powered by the intelligent symphony of technology and humans designing meaningful and sustainable experiences. Consumer 'experiences' are driving and disrupting industries like never before. Businesses must build seamless yet simple enterprises that collaborate, synergize, and drive the change. Change that connects us all and empowers us to deliver experiences that span across the digital, the physical, the convergent, and everything in between. That's when truly connected experiences manifest. Extraordinary is when experiences come together – a continuous convergence of digital technologies, touchpoints, and most importantly people. It's time to reimagine, reinvent, and revolutionize business models operations as well as to transform enterprises into living, breathing, and connected businesses. We are the Digital Change makers who strive to change the way the world, communities, businesses, and humans interact digitally. We are harnessing the power of change, brought in by technologies, that makes it the most exciting time to be alive in human history. Our universe, as we build it, disrupt it, and redesign it, is powering the digital change. *** represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates, and the Society to Rise. It has 150,000+ professionals working for 1000+ Global Customers (including Fortune 500 companies) in 90 Countries. We're part of the esteemed Mahindra group, headquartered in India. Under a new CEO, *** is committed to a transformative journey with 'Scale @ Speed' as our guiding principle. *** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ***.