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 finetune and deploy Generative AI models (e.g. GPT Stable Diffusion DALLE etc.) for automation tasks.
- Integrate pretrained models or build custom models for specific use cases.
Automation Design and Development:
- Design and implement AIdriven 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 realtime 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 cuttingedge AI solutions to address business challenges.
Documentation and Collaboration:
- Document technical designs workflows and implementation strategies.
- Collaborate with crossfunctional 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 problemsolving skills.
- Excellent communication and teamwork abilities.
Preferred Qualifications:
- Experience with NLP image generation or multimodal AI models.
- Handson experience with APIs for AI services like OpenAI Cohere or Google AI.
- Familiarity with prompt engineering and finetuning 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 cuttingedge Generative AI technologies.
- Collaborate with a team of forwardthinking innovators.
- Make a tangible impact on the future of automation and AIdriven 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.
Python, GPT, AI, Generative AI, APIs, TensorFlow, PyTorch, Hugging Face, Cloud, Containerization, Docker, Kubernetes, NLP, MLOps, Prompt Engineering, Data Structure
Education
Bachelor s or Master s degree in Computer Science, Engineering, or a related field.