
Senior Generative Model Developer
1 day ago
Key Role: Gen AI Engineer
We are seeking an experienced engineer to join our team. As a key member of our engineering team, you will be responsible for designing and developing innovative AI solutions that leverage generative models.
Primary focus will be on building and deploying large language models (LLMs) using various techniques such as model fine-tuning, transfer learning, and prompt engineering.
You will have hands-on experience in training and deploying LLMs for tasks like text generation, summarization, or translation.
- This is an exciting opportunity to work with cutting-edge technologies such as GANs, VAEs, and transformer-based models.
- As a Gen AI Engineer, you will collaborate with cross-functional teams to design, develop, and deploy AI-powered solutions.
- You will be working on a range of projects that involve data applications, model deployment, and performance tuning.
Requirements:
- 3+ years of experience in machine learning, deep learning, or Al research, With a focus on generative models
- Experience with generative models such as GANS (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E)
- Understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMS)
- Strong programming skills in python and familiarity with relevant libraries and frameworks
- Hands-on experience in building data applications using Streamlit or similar tools
- Proficiency with Hugging Face Transformers, PyTorch or TensorFlow
Good-to-Have:
- Experience with Docker, Kubernetes, and MLOps
- Knowledge of CI/CD pipelines and model deployment best practices
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