Role Overview AI/ML Engineer
Responsibilities:
- Develop and improve Generative AI systems to enable high quality decision making, to refine answers for queries, and to enhance automated communication capabilities.
- Own the entire process of data collection, training, and deploying machine learning models.
- Continuous research and implementation of cutting-edge techniques in deep learning, NLP and Generative AI to build state-of-the-art models.
- Work closely with Data Scientists and other Machine Learning Engineers to design and implement end-to-end solutions.
- Optimize and streamline deep learning training pipelines.
- Develop performance metrics to track the efficiency and accuracy of deep learning models.
Requirements :
- Minimum of 5 years of industry experience in developing deep learning models with a focus on NLP and Generative AI.
- Expertise in deep learning frameworks such as Tensorflow, PyTorch and Keras.
- Experience working with cloud-based services such as Azure for training and deployment of deep learning models.
- Experience with Hugging Face's Transformer libraries.
- Expertise in developing and scaling Generative AI systems.
- Experience in large dataset processing, including pre-processing, cleaning and normalization.
- Proficient in programming languages such as Python ( preferred ) /R.
- Experience with natural language processing (NLP) techniques and libraries.
