The Role
Design, develop, and deploy generative AI models and AI-driven automation workflows. Integrate models via APIs, build inference pipelines, preprocess and manage training data, ensure data privacy, monitor and optimize model performance, collaborate with cross-functional teams, and document solutions.
Summary Generated by Built In
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.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Strong programming skills in Python
- Experience with frameworks like TensorFlow, PyTorch, or Hugging Face
- Proficiency in designing and deploying machine learning models, particularly Generative AI
- Experience with automation tools (e.g., RPA, workflow orchestration tools)
- Familiarity with cloud platforms (AWS, Azure, or Google Cloud)
- Familiarity with 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 AI service APIs (OpenAI, Cohere, 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
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Ethnus is a Bengaluru-based education and communication-skills training company serving professionals and students. It operates as a training center focused on improving communication skills, with an EdTech orientation and programs designed for learners at different stages. Its public company profile identifies Bengaluru, India as its location and describes the organization primarily through its professional and student communication-training offering for professionals and students alike.
.png){kind=logo}
