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Machine Learning Ai Developer Jobs in Pennsylvania

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

At Gather AI, we're not just creating software; we're pioneering a new era of warehouse ... Collaborate with the Director of Cloud Engineering and Director of Autonomy to ensure ML systems ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

Gather AI is pioneering a new era of warehouse intelligence with innovative software that utilizes ... Cloud Engineering and Director of Autonomy to ensure ML systems integrate seamlessly into the ...

LHi Group Ltd

Staff Machine Learning Engineer

Calumet, PA · On-site

$280K/yr

* Staff Applied Machine Learning Engineer * Remote (must be based in USA) * Work Authorization: ship ... Their platform helps organizations unlock the value of complex data by embedding AI into mission ...

New

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

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All JobsMachine Learning Ai Developer JobsMachine Learning Ai Developer Jobs in Pennsylvania

Machine Learning Ai Developer information

What is the difference between Machine Learning Ai Developer vs Data Scientist?

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

What are popular job titles related to Machine Learning Ai Developer jobs in Pennsylvania? For Machine Learning Ai Developer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Machine Learning Ai Developer jobs in Pennsylvania look for? The top searched job categories for Machine Learning Ai Developer jobs in Pennsylvania are:
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Machine Learning Ai Developer jobs near you
Infographic showing various Machine Learning Ai Developer job openings in Pennsylvania as of June 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Machine Learning/AI ML Architect

Mastech Digital

Pittsburgh, PA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

W2 Only , Fully Onsite , H1B Transfer can Also Apply


Title: Machine Learning/AI ML Architect

Duration: 6 Months + CTH

Location: Pittsburg ,PA

(ONLY W2)


Job Description:


Skills:

  • AutoGen
  • Communication
  • Generative AI
  • GraphQL
  • Jenkins
  • LangGraph
  • Machine Learning
  • Model Context Protocol Client
  • Model Context Protocol Servers
  • Model Prototyping
  • Azure
  • Large Language Model (LLM)
  • MongoDB
  • Python


Duties and Responsibilities:

  • Maintain existing predictive models while architecting for the future. This role will require architecting application that works as an integration of predictive model and generative AI.
  • Strong experience in building and deploying predictive models based on Random Forest, Linear Regression etc. for problems such as fraud detection, anomaly detection, churn prediction etc. at enterprise scale
  • Develop robust and scalable pipelines for data preprocessing, model training, and deployment.
  • Strong programming skills in Python and in similar languages.
  • Familiarity with machine learning frameworks like PyTorch.
  • Hands on experience with generative AI models such as GPT.
  • Understanding of MLOps practices for building scalable AI pipelines.
  • Solid understanding of natural language processing (NLP) and AI ethics.
  • Translate complex requirements into scalable and efficient architecture
  • Design and implement scalable ML pipelines with CI/CD automation, efficient model training, validation, and deployment across enterprise environments
  • Excellent Communication and Leadership qualities to work independently with minimal supervision.


Requirements:

  • A minimum of 6 + years experience as a Data Engineer or similar role with 1 2 years specifically focused on GenAI or AI/ML projects
  • Strong knowledge data architecture in banking domain.
  • 4+ Years Work Experience in Python, Mongo
  • Strong hands-on experience with Microsoft Azure
  • Integrate LLMs with enterprise datasets using Azure Open AI.
  • Understanding of agentic frameworks (such as AutoGen or LangGraph, MCP)
  • ML: Familiar with CI/CD Pipeline, Jenkin, Model Training, Model Deployment
  • GenAI: Knowledge in LLM Models, Langchain , Hugingface
  • Excellent organizational and analytical abilities.
  • Outstanding problem solver.

Good written and verbal communication skills

Apply