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Remote Kubernetes Developer Jobs in Pennsylvania

Branding Brand

Senior Backend Engineer

Pittsburgh, PA · Remote

$25 - $70/hr

... Kubernetes, with Redis for caching and Databricks as the long-term data store. The workload is ... This is a fully remote contract position. The candidate must be located in the United States and ...

Delphinus Engineering

Back-End Engineer

Philadelphia, PA · Remote

$75K - $125K/yr

Develop and enhance software for advanced Condition Assessment and Remote Monitoring systems in ... Strong experience with container orchestration using Kubernetes. * Hands-on experience with message ...

The Pennsylvania State University

$68K - $113K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Interest in Cloud-Native Computing Foundation tools like Kubernetes * Continuous Integration ...

Delphinus Engineering

Front-End Engineer

Philadelphia, PA · On-site +1

$75K - $125K/yr

... Remote Monitoring systems. The Front-End Engineer will work with a modern tech stack to build and ... Experience delivering or deploying applications to Kubernetes environments. * Familiarity with U.S.

Sedgwick

Senior Engineer - LLMOps & MLOps

North East, PA · On-site +1

$96K - $132K/yr

Extensive experience with containerization (Docker, Kubernetes) and orchestration tools (Airflow ... remote #LI-TS1 Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Software containerization and deployment (Docker, Podman, Kubernetes, Helm, etc.) * DevSecOps ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... CI/CD pipelines and DevOps practices * Translation of business requirements into technical ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Containerization and orchestration experience with Docker and Kubernetes * Understanding of mobile ...

The Pennsylvania State University

$92K - $174K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Experience with open-source technologies and cloud services such as Docker and Kubernetes

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Generative AI Automation Engineer - Remote Job

EnthuZiastic

Bloomsburg, PA • Remote

Full-time

Re-posted 16 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