ZipRecruiter

Log In

2

Entry Level Google Cloud Machine Learning Engineer Jobs in Pittsburgh, PA

Pwc

AI & GenAI Data Scientist - Manager

Pittsburgh, PA

$99K - $232K/yr

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

Varsity Tutors

Machine Learning Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Accenture

Responsible AI Engineer

Pittsburgh, PA · On-site

Machine Learning Visualization Tools * Minimum of 3 years of experience in the following ... Understanding and working knowledge of cloud services and platforms (e.g., AWS, Azure, or Google ...

Accenture

Responsible AI Engineer

Pittsburgh, PA · On-site

Machine Learning Visualization Tools * Minimum of 3 years of experience in the following ... Understanding and working knowledge of cloud services and platforms (e.g., AWS, Azure, or Google ...

Carnegie Robotics

Software Engineer - Cloud

Pittsburgh, PA · On-site

$58.25 - $75.75/hr

Whether you call yourself a Cloud Engineer, a Backend Developer, or have transitioned from a Web ... Machine Learning Infrastructure: Experience setting up training infrastructure (e.g., managing GPU ...

Carnegie Robotics

Software Engineer - Cloud

Pittsburgh, PA · On-site

$58.25 - $75.75/hr

Whether you call yourself a Cloud Engineer, a Backend Developer, or have transitioned from a Web ... Machine Learning Infrastructure: Experience setting up training infrastructure (e.g., managing GPU ...

Carnegie Robotics

Software Engineer - Cloud

Pittsburgh, PA · On-site

$58.25 - $75.75/hr

Whether you call yourself a Cloud Engineer, a Backend Developer, or have transitioned from a Web ... Machine Learning Infrastructure: Experience setting up training infrastructure (e.g., managing GPU ...

Carnegie Robotics

Software Engineer - Cloud

Pittsburgh, PA · On-site

$58.25 - $75.75/hr

Whether you call yourself a Cloud Engineer, a Backend Developer, or have transitioned from a Web ... Machine Learning Infrastructure: Experience setting up training infrastructure (e.g., managing GPU ...

Skild AI

Robotics Software Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

We believe massive scale through data-driven machine learning is the key to unlocking these ... Position Overview We are seeking a versatile Robotics Software Engineer to develop and implement ...

previous pagenext page

Showing results 21-40

All JobsGoogle Cloud Machine Learning Engineer JobsEntry Level Google Cloud Machine Learning Engineer JobsEntry Level Google Cloud Machine Learning Engineer Jobs in Pittsburgh, PA

Entry Level Google Cloud Machine Learning Engineer information

See Pittsburgh, PA salary details

$29.1K

$67.3K

$114.6K

How much do entry level google cloud machine learning engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for entry level google cloud machine learning engineer in Pittsburgh, PA is $67,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $76,200.00 per year, depending on experience, location, and employer.

What are popular job titles related to Entry Level Google Cloud Machine Learning Engineer jobs in Pittsburgh, PA?

For Entry Level Google Cloud Machine Learning Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Entry Level Google Cloud Machine Learning Engineer jobs in Pittsburgh, PA look for?

The top searched job categories for Entry Level Google Cloud Machine Learning Engineer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Entry Level Google Cloud Machine Learning Engineer jobs?

Cities near Pittsburgh, PA with the most Entry Level Google Cloud Machine Learning Engineer job openings:

Entry Level Google Cloud Machine Learning Engineer jobs near you
Infographic showing various Entry Level Google Cloud Machine Learning Engineer job openings in Pittsburgh, PA as of June 2026, with employment types broken down into 50% Full Time, 28% Part Time, 20% Contract, and 2% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $67,338 per year, or $32.4 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Pittsburgh, PA • Remote

Full-time

Re-posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply