GenAI Architect

Requirements:
* Master’s degree in Data science, Computer Science, Artificial Intelligence, Machine Learning, or a related field
* 10+ years of experience in data science , with a focus on generative AI technology/data science
* 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python)
* Telecommunication domain experience
* Ability to work independently and as part of a team in a fast-paced environment
* Hands on fine tuning AI models (SBERT, ScaNN, PaLM, ChatGPT, LLM)
* Strong background in Natural Language Processing, including experience with text representation, language modelling, sequence-to-sequence architectures, and semantic understanding
* Technical skills : Data science, Python, Javascript, MongoDB, AWS/GCP, API Programming, vertex.ai
* Strong expertise in generative AI techniques, including but not limited to:
Generative Adversarial Networks (GANs)
Variational Autoencoders (VAEs)
Transformer models (e.g., GPT-3, GPT-4)
Diffusion Models
* Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Keras, etc.
* Solid understanding of deep learning concepts and neural network architectures.
* Experience with large-scale model training and optimization.
* Familiarity with natural language processing (NLP) and computer vision applications.
Programming and Tools:
Proficiency in programming languages such as Python, R, or Java.
* Experience with data processing and analysis using tools like Pandas, NumPy, and scikit-learn.
* Knowledge of cloud platforms and services (e.g., AWS, Google Cloud, Azure) for AI model deployment.
* Experience with version control systems (e.g., Git).
* Strong analytical and problem-solving skills with the ability to develop creative and efficient solutions.
* Ability to work with large datasets and perform data preprocessing, augmentation, and transformation.
* Excellent written and verbal communication skills.