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Apprentice Machine Learning Testing Jobs in Pennsylvania

Kurt J Lesker

Machine Apprentice

Jefferson Hills, PA · On-site

$16 - $20.50/hr

Are you passionate about machining , innovation , and continuous learning ? Join our state-certified , 4-year apprenticeship program in a cutting-edge , climate-controlled machine shop. Job Details

Kurt J Lesker Company

Machine Apprentice

Jefferson Hills, PA · On-site

$16 - $20.50/hr

Are you passionate about machining , innovation , and continuous learning ? Join our state-certified , 4-year apprenticeship program in a cutting-edge , climate-controlled machine shop. Job Details

Kurt J Lesker Company

CNC Apprentice Trainer

Clairton, PA · On-site

$16 - $20.50/hr

The CNC Apprentice Trainer will guide apprentices in the setup and operation of manual and CNC ... learning, craftsmanship, quality, and operational excellence within the machine shop * Perform ...

Kurt J Lesker

CNC Apprentice Trainer

Jefferson Hills, PA · On-site

$15.50 - $20/hr

The CNC Apprentice Trainer will guide apprentices in the setup and operation of manual and CNC ... learning, craftsmanship, quality, and operational excellence within the machine shop * Perform ...

Cumming Group

This role serves as a key owner's representative focusing on machine learning compute components ... testing, and fu l commissioning to ensure a l systemfunction as designed under load Core Scope of ...

Portage Learning

Data Science Associate I

Beaver Falls, PA · On-site +1

$89K - $121K/yr

This role applies statistical analysis, machine learning, and data visualization to translate ... Contribute to code reviews, testing, version control, and shared analytical standards. * Stay ...

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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 the most commonly searched types of Machine Learning Testing jobs in Pennsylvania?

The most popular types of Machine Learning Testing jobs in Pennsylvania are:

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

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

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

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

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

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

Apprentice Machine Learning Testing jobs near you

Principal Machine Learning Engineer

RIT Solutions, Inc.

Philadelphia, PA • On-site

Full-time

Re-posted 18 days ago

Job description

Job Summary:
RIT Solutions, Inc. is seeking a Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning initiatives. This role will focus on building, validating, deploying, and improving machine learning models while engaging with stakeholders and ensuring production readiness.
Responsibilities:
• Build, test, validate, and improve machine learning models for scoring, prediction, prioritization, risk detection, engagement, intervention targeting, and decision support.
• Perform exploratory data analysis, data quality assessment, feature engineering, model training, model selection, and performance evaluation.
• Develop practical ML models that balance predictive performance, explainability, stability, maintainability, and business usefulness.
• Work with structured, semi-structured, and operational data to create model-ready datasets and reusable features.
• Use tools such as Python, SQL, Spark, Databricks, MLflow, scikit-learn, XGBoost, or similar platforms and libraries.
• Move quickly from data exploration to prototype to validated model to production-ready capability.
Qualifications:
Required:
• Professional experience in machine learning, data science, software engineering, analytics engineering, applied AI, or related technical fields.
• 5+ years of hands-on machine learning model development experience, including feature engineering, model training, validation, evaluation, and iteration.
• 3+ years of experience deploying, operationalizing, or supporting models in production or business-critical environments.
• Strong hands-on experience with Python and SQL.
• Experience with modern ML and data platforms such as Databricks, Spark, MLflow, Snowflake, Azure, AWS, or similar technologies.
• Strong understanding of model evaluation, calibration, thresholding, score interpretation, monitoring, drift, retraining, and production ML lifecycle management.
• Experience translating ambiguous business problems into concrete ML designs, model requirements, validation plans, and measurable outcomes.
• Ability to explain model behavior, model performance, assumptions, limitations, and tradeoffs to both technical and non-technical stakeholders.
• Strong engineering discipline, including clean code, reproducibility, versioning, testing, documentation, and maintainability.
• Ability to work independently as a senior hands-on contributor while also providing technical leadership and modeling judgment.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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