Responsibilities :
Data collection and preparation : Collect and prepare data for training and evaluating LLMs. This may involve cleaning and processing text data, or creating synthetic data
Model development : Design and implement LLM models. This may involve choosing the right architecture, training the model, and tuning the hyperparameters
Model evaluation : Evaluate the performance of LLM models. This may involve measuring the accuracy of the model on a held-out dataset, or assessing the quality of the generated text
Model deployment : Deploy LLM models to production. This may involve packaging the model, creating a REST API, and deploying the model to a cloud computing platform.
Responsible AI : Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives.
Experience in working with ML toolkit like R, NumPy, MatLab etc..
Experience in data mining, statistical analysis and data visualization
Additional Responsibilities :
Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability
Good knowledge on software configuration management systems
Awareness of latest technologies and Industry trends
Technical and Professional Requirements :
Primary skills : Technology- Artificial Intelligence- Computer Vision, Technology- Big Data- Natural language processing(NLP), Technology- Machine Learning- Python
Skills Required
Machine Learning, Big Data, Python, Computer Vision, Technology, Artificial Intelligence
Gen Ai Developer • Bengaluru / Bangalore, India