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Entrylevel Forward Deployed Engineer Jobs in Pennsylvania

Experience designing, developing, testing, deploying, and supporting applications throughout the ... From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We ...

Experience designing, developing, testing, deploying, and supporting applications throughout the ... From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We ...

This is a hands-on, production focused role where you will design, deploy, optimise and maintain AI ... Please do not forward or submit resumes through our website or to any of our employees directly.

Test Automation Engineer

Blue Bell, PA · On-site

$64K - $96K/yr

This is an entry-level engineering role focused on developing and maintaining automated tests as ... Curiosity about how large systems are built, tested, and deployed Compensation & Benefits: The ...

Project Sales Engineer

Indiana, PA · On-site

$65K - $75K/yr

Deploy necessary networking equipment on customer networks. * Provide customer support for deployed ... bring forward additional value * Act as a conduit for feedback from customers and end-users to ...

Field Engineer Intern

Imperial, PA · On-site

$17.25 - $22.25/hr

Description Field Engineering Intern responsibilities primarily include office work to support WOS ... We pride ourselves on being a forward-thinking company that designs, manufactures, deploys, and ...

New

Field Engineer Intern

Imperial, PA · On-site

$17.25 - $22.25/hr

Field Engineering Intern responsibilities primarily include office work to support WOS Field ... We pride ourselves on being a forward-thinking company that designs, manufactures, deploys, and ...

Showing results 41-60

Entrylevel Forward Deployed Engineer information

What is the difference between Entrylevel Forward Deployed Engineer vs Entry-Level Software Engineer?

AspectEntrylevel Forward Deployed EngineerEntry-Level Software Engineer
Primary RoleDeploying and supporting hardware/software in client environments, often involving customer interactionDeveloping, testing, and maintaining software applications
Work EnvironmentOn-site client locations and field settingsOffice or remote software development teams
Required SkillsHardware knowledge, troubleshooting, customer communicationProgramming, software design, problem-solving
Common CertificationsNone specific, technical certifications helpfulNone required, coding certifications optional

While both roles are entry-level and involve technical skills, the Entrylevel Forward Deployed Engineer focuses on deploying and supporting hardware and software directly at client sites, requiring customer interaction and troubleshooting. In contrast, the Entry-Level Software Engineer primarily develops software in a team environment. Understanding these differences helps candidates choose the right career path based on their interests in hardware deployment versus software development.

What are popular job titles related to Entrylevel Forward Deployed Engineer jobs in Pennsylvania? For Entrylevel Forward Deployed Engineer jobs in Pennsylvania, the most frequently searched job titles are:
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Generative AI Automation Engineer - Remote Job

EnthuZiastic

Reading, PA • On-site

Other

Re-posted 20 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.