Generative AI Automation Engineer - Remote Job

This is a remote position.

• 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.
  

• 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.
  

• Collect, preprocess, and analyze large datasets for training and validating AI models.
  
• Ensure data privacy and compliance with regulatory requirements during data handling.
  

• 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.
  

• Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.
  
• Optimize models and processes based on performance metrics and user feedback.
  

• Stay updated with the latest advancements in Generative AI and automation technologies.
  
• Identify opportunities for implementing cutting-edge AI solutions to address business challenges.
  

• Document technical designs, workflows, and implementation strategies.
  
• Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.
  

Requirements

• 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.
  

• 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

• 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.