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Full Time Artificial Intelligence Machine Learning Jobs in Philadelphia, PA

Iff

AI & Data Scientist

Wilmington, DE · On-site

Develop and implement data science, machine learning and artificial intelligence solutions that enhance quality processes and scientific decision-making. * Build and maintain scalable data pipelines ...

Ametek

DVP, Artificial Intelligence

Berwyn, PA

The DVP, Artificial Intelligence, will be responsible for driving the adoption and implementation ... The DVP will set direction and actively configure solutions (including learning and applying ...

Ametek

DVP, Artificial Intelligence

Berwyn, PA · On-site

The DVP, Artificial Intelligence, will be responsible for driving the adoption and implementation ... The DVP will set direction and actively configure solutions (including learning and applying ...

Ampcus Inc

Java Full Stack Developers

Wilmington, DE · On-site

$51 - $65.75/hr

... artificial intelligence, machine learning, mobile, etc.) • Familiarity with modern front-end technologies. • Exposure to cloud technologies. Preferred : • Specific attributes such as AWS ...

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All JobsArtificial Intelligence Machine Learning JobsFull Time Artificial Intelligence Machine Learning JobsFull Time Artificial Intelligence Machine Learning Jobs in Philadelphia, PA

Full Time Artificial Intelligence Machine Learning information

See Philadelphia, PA salary details

$14

$26

$48

How much do full time artificial intelligence machine learning jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for full time artificial intelligence machine learning in Philadelphia, PA is $26.59, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $28.12 per hour, depending on experience, location, and employer.

What is a full time artificial intelligence machine learning?

A Full Time Artificial Intelligence Machine Learning job typically involves working as a specialist or engineer who develops, implements, and maintains AI and machine learning models. This role may include tasks such as data preprocessing, building predictive algorithms, optimizing model performance, and collaborating with cross-functional teams to solve real-world problems using AI. Professionals in this field usually work with large datasets, programming languages like Python, and frameworks such as TensorFlow or PyTorch. Full-time positions generally require a background in computer science, mathematics, or a related field, and often involve ongoing learning to keep up with rapidly evolving technologies.

What are some common challenges faced by professionals in full time artificial intelligence machine learning roles, and how can they be addressed?

Professionals in full-time AI and Machine Learning roles often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and keeping up with rapid technological advancements. Additionally, collaborating with cross-functional teams to translate business needs into technical solutions can be demanding. To address these challenges, it is crucial to stay updated with the latest research, leverage robust data preprocessing techniques, and maintain open communication with stakeholders. Regularly participating in team meetings and knowledge-sharing sessions also helps in overcoming obstacles and fostering innovation.

What are the key skills and qualifications needed to thrive as a full time artificial intelligence machine learning professional, and why are they important?

To thrive as a Full Time Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, programming (especially Python), and a relevant degree such as computer science or data science. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), cloud platforms (AWS, Azure), and relevant certifications are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and innovate within diverse teams. These competencies are essential for developing robust AI solutions and staying current in a rapidly evolving field.

What is the difference between Full Time Artificial Intelligence Machine Learning vs Data Scientist?

AspectFull Time Artificial Intelligence Machine LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; certifications in ML/AIDegree in Statistics, Computer Science, or related fields; certifications in data analysis
Work EnvironmentTech companies, research labs, startups; focus on developing AI/ML modelsBusiness environments, consulting firms; focus on data analysis and insights
Employer & Industry UsagePrimarily in tech, finance, healthcare, and research sectorsAcross industries like marketing, finance, healthcare, and e-commerce

While both roles involve working with data, Full Time Artificial Intelligence Machine Learning specialists focus on developing and deploying AI/ML models, whereas Data Scientists analyze data to generate insights. The roles often overlap but differ in their primary objectives and skill sets.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Philadelphia, PA?

The most popular types of Artificial Intelligence Machine Learning jobs in Philadelphia, PA are:

Full Time Artificial Intelligence Machine Learning jobs near you

Machine Learning Artificial Intelligence Engineer

Norristown, PA • On-site

RIT Solutions, Inc.
Recruiting and Staffing Services • 201 - 500 employees
Learn more about RIT Solutions, Inc.external

$109K - $131K/yr

Full-time

Re-posted 10 days ago

Job description

Job Summary:
RIT Solutions, Inc. is seeking a Machine Learning Artificial Intelligence Engineer. The role involves leveraging strong project experience in Machine Learning, Big Data, and Python to build data pipelines and develop REST APIs.
Responsibilities:
• Strong project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must.
• Strong project experience with Amazon Web Services and Cloudera Data Platform is must.
• 4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive.
• 4-5 years of programming experience in AWS, Linux and Data Science notebooks is must.
• Strong experience with REST API development using Python frameworks (Django, Flask etc.).
• Micro Services/Web service development experience using Spring framework is highly desirable
Qualifications:
Required:
• Strong project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must.
• Strong project experience with Amazon Web Services and Cloudera Data Platform is must.
• 4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive.
• 4-5 years of programming experience in AWS, Linux and Data Science notebooks is must.
• Strong experience with REST API development using Python frameworks (Django, Flask etc.).
Preferred:
• Micro Services/Web service development experience using Spring framework is highly desirable
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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