Generative AI Lead/Architect - Machine Learning Algorithms

Description :

Role & responsibilities :

Generative AI Expertise :

Good understanding of various Generative AI techniques, including :

- GANs, VAEs, and other relevant architectures.

- Proven experience in applying these techniques to real-world problems for tasks such as image and text generation.

- Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling.

- Exposure to both API based and opens source LLMs based solution design.

Technical Proficiency :

- Machine learning algorithms : Linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks

- Data science tools : NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras

- Cloud computing platforms : AWS, Azure, GCP

- Natural language processing (NLP) : Transformer models, attention mechanisms, word embeddings

- Computer vision : Convolutional neural networks, recurrent neural networks, object detection

- Robotics : Reinforcement learning, motion planning, control systems

- Data ethics : Bias in machine learning, fairness in algorithms