The domain of Generative AI is advancing swiftly, leading to a surge in the need for adept professionals adept at steering through its intricate terrain. Pioneering firms are on the lookout for gifted contributors who can aid in crafting cutting-edge AI models. Let’s delve into the expertise that’s gaining prominence in this trailblazing field.

Model Training, Deployment, and Maintenance:

• Experience in a production environment.
• cloud tools to get logs, run batch jobs

NLP and Deep Learning:

• jax, pytorch, tensorflow, sklearn
• Strong skills in natural language processing, large language models, and deep learning.
• Identify reliable automatic and human evaluation methods for evaluating machine translation and multilingual performance of LLMs, then incorporate findings into the models.

Knowledge of Architectures:

• Familiarity with current state-of-the-art architectures, including transformers.

Programming and Frameworks:

• Solid background in algorithms, data structures, and object-oriented programming. Proficiency in high-level programming languages like Python and frameworks such as PyTorch, Kubernetes, TensorFlow, etc.

Cloud Technology and infrastructure:

• Experience with cloud technology stacks (e.g., AWS or GCP) and developing machine learning models in a cloud environment.
• Experience in building ML pipeline on public cloud
• Experience in AWS lambda, step function, Airflow DAG