Enthuziastic
Global P2P (Peer to Peer) Live Learning Network. Our mission is to build and enhance tools that enable students of all ages to discover courses that fit their budget, schedule, language, learning goals.
11 - 50 employees
Founded 2020
Generative AI Automation Engineer
Job not on LinkedIn
December 12, 2024
Enthuziastic
Global P2P (Peer to Peer) Live Learning Network. Our mission is to build and enhance tools that enable students of all ages to discover courses that fit their budget, schedule, language, learning goals.
11 - 50 employees
Founded 2020
📋 Description
• 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. • 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.
🏖️ 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.
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