Requirements
- Experience : 6 Years
- Strong proficiency in Python (OOP data structures async programming).
- Experience with Generative AI / Deep Learning:
- Transformers (GPT BERT T5 etc.)
- Diffusion models (Stable Diffusion etc.) â optional for some roles
- Tokenizers and embeddings
- Frameworks/Libraries:
- PyTorch and/or TensorFlow
- Hugging Face Transformers Diffusers
- NumPy Pandas Scikit-learn
- Model training & fine-tuning on large datasets.
- Building inference APIs (FastAPI/Flask).
- Knowledge of GPU training and acceleration (CUDA cuDNN).
- Version control (Git) Collaboration workflows (PRs Code reviews).
Responsibilities
- Design develop and optimize generative AI models (e.g. GPT-style BERT T5 Stable Diffusion).
- Implement and maintain data pipelines for training and fine-tuning models.
- Write high-quality scalable Python code leveraging frameworks like PyTorch TensorFlow JAX and Hugging Face.
- Collaborate with product design and engineering teams to understand requirements and deploy AI features into production.
- Build REST APIs and services for model inference (FastAPI Flask Django).
- Monitor and maintain deployed models (logging versioning performance tracking).
- Research and experiment with new AI techniques and tools to improve model performance.
- Document model design APIs and deployment procedures
Qualifications :
Bachelors or masters degree in computer science Information Technology or a related field.
Remote Work :
No
Employment Type :
Full-time
RequirementsExperience : 6 YearsStrong proficiency in Python (OOP data structures async programming).Experience with Generative AI / Deep Learning:Transformers (GPT BERT T5 etc.)Diffusion models (Stable Diffusion etc.) â optional for some rolesTokenizers and embeddingsFrameworks/Libraries:PyTorch an...
Requirements
- Experience : 6 Years
- Strong proficiency in Python (OOP data structures async programming).
- Experience with Generative AI / Deep Learning:
- Transformers (GPT BERT T5 etc.)
- Diffusion models (Stable Diffusion etc.) â optional for some roles
- Tokenizers and embeddings
- Frameworks/Libraries:
- PyTorch and/or TensorFlow
- Hugging Face Transformers Diffusers
- NumPy Pandas Scikit-learn
- Model training & fine-tuning on large datasets.
- Building inference APIs (FastAPI/Flask).
- Knowledge of GPU training and acceleration (CUDA cuDNN).
- Version control (Git) Collaboration workflows (PRs Code reviews).
Responsibilities
- Design develop and optimize generative AI models (e.g. GPT-style BERT T5 Stable Diffusion).
- Implement and maintain data pipelines for training and fine-tuning models.
- Write high-quality scalable Python code leveraging frameworks like PyTorch TensorFlow JAX and Hugging Face.
- Collaborate with product design and engineering teams to understand requirements and deploy AI features into production.
- Build REST APIs and services for model inference (FastAPI Flask Django).
- Monitor and maintain deployed models (logging versioning performance tracking).
- Research and experiment with new AI techniques and tools to improve model performance.
- Document model design APIs and deployment procedures
Qualifications :
Bachelors or masters degree in computer science Information Technology or a related field.
Remote Work :
No
Employment Type :
Full-time
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