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Apprentice Machine Learning Testing Jobs in Georgia

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Identify, document, and resolve data issues across ingestion, transformation, and analytics layers AI & Machine Learning QA * Implement QA testing strategies for AI and machine learning models

... machine learning and AI solutions through daily pairing, collaborate with cross-functional product teams, write custom code for infrastructure automation and testing, and monitor production systems ...

New

Utilize statistical and machine learning techniques to predict trends and future outcomes. * Statistical Analysis : Apply statistical methods to test hypotheses and analyze data. * A/B Testing

Showing results 21-40

Apprentice Machine Learning Testing information

What does an apprentice machine learning testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What kinds of projects or tasks can I expect to work on as an apprentice machine learning testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an apprentice machine learning testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Georgia?

For Apprentice Machine Learning Testing jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Apprentice Machine Learning Testing jobs in Georgia look for?

The top searched job categories for Apprentice Machine Learning Testing jobs in Georgia are:

What cities in Georgia are hiring for Apprentice Machine Learning Testing jobs?

Cities in Georgia with the most Apprentice Machine Learning Testing job openings:

Machine Learning Engineer (MLE) - Q123

Alpharetta, GA • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 11 days ago


Job description

Overview:
R2 Technologies Corporation (R2) is a technology services provider headquartered in Alpharetta, GA, with expertise in a range of cutting-edge technologies. R2 specializes in Java, Dot Net, Big Data, Cloud Computing, artificial intelligence (AI), machine learning (ML), software development, project management, SAP, and enterprise resource planning (ERP) systems. Additionally, R2 offers highly skilled resources and productivity platforms that enable clients to rapidly deliver business value to their stakeholders.
R2's strength lies in providing platform-based solutions, architecting, and designing enterprise solutions, leveraging cloud technologies such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to deliver scalable and cost-effective solutions.
R2's expertise in AI and ML enables clients to leverage the power of data to make data-driven decisions and improve their overall performance. R2 also provides solutions for internet of things (IoT) and blockchain technologies, which can help clients improve their supply chain management and streamline their operations.
Since its inception, R2 has rapidly grown to become one of the most respected and trusted technology companies in the United States, providing product development and staffing services to a diverse range of clients, including small and midsize businesses, as well as Fortune 1000 companies.
Job Title: Machine Learning Engineer (MLE)
Location: Alpharetta, GA.
Type: Full-time
Overview:
We are seeking a skilled and experienced Developer to join our team. The ideal candidate will have expertise in programming and experience in building scalable and reliable applications.
Responsibilities:
• The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
• Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
• Construct optimized data pipelines to feed ML models.
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
• Use programming languages like Python, Scala, or Java.
• API development
Required Skills:
• At least 3 years of experience programming with Python, Scala, or Java (Internship experience does not apply)
• At least 3 years of experience designing and building data-intensive solutions using distributed computing
• At least 3 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
• At least 1 year of experience productionizing, monitoring, and maintaining models
Optional Skills:
• 3 years of experience building, scaling, and optimizing ML systems
• 3 years of experience with data gathering and preparation for ML models
• 3 years of experience developing performant, resilient, and maintainable code
• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
• 3 years of experience with distributed file systems or multi-node database paradigms
• 3 years of experience building production-ready data pipelines that feed ML models
• Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
Qualifications:
• Bachelor's degree in computer science, Engineering, or related field.
• Relevant certification.
Attributes:
We are seeking a candidate who is passionate, intelligent, and a critical thinker. The ideal candidate should be a proactive communicator, documenting their work clearly and succinctly. They should be detail-oriented, thoughtful, and respectful, with a focus on teamwork. The candidate should possess strong problem-solving skills and have the ability to work independently and within a team. They should be able to adapt to changing requirements and maintain a positive attitude in a fast-paced environment.
What's In It for You?
We offer competitive benefits, pay, and bonus potential, including group health insurance, vision and dental insurance, and paid vacation.
Skills:
Machine Learning,Artificial Intelligence,Python