AI / ML Engineer

• Possess over 3 years of notable software engineering experience in Machine Learning and Deep Learning projects, encompassing AI/ML methodologies like supervised, unsupervised, and reinforced learning via human feedback (RLHF).
• Knowledge in working on LLM and familiarity with Generative AI models such as BERT and Transformers offers a distinct advantage.
• Demonstrable proficiency in a suite of tools and technologies like Python, Pytorch, TensorFlow, Keras, Theano, Scipy, Scikit-learn, pandas, Numpy, and more.
• Skilled in DataOps-focused tools overseeing dataset quality, annotations, training data, and more.
• Experience with data labeling tools such as awesome-data-labelling, Label studio, or OCI Data Labeling services.
• Experience in deploying models and performing model drift analysis on cloud platforms is a notable plus.
• Practical expertise in using at least one analytics platform, such as Oracle Analytics Cloud or Power BI.
• Proven capability in handling both structured and unstructured data, with an edge given to those familiar with accessing public datasets.
• Essential in-depth understanding of databases, particularly in efficiently navigating noSQL and Relational databases.
• Knowledge in Neural Network architectures, especially with a focus on LLM.

Mandatory Skills

• Python
• Pytorch
• TensorFlow
• Keras, Theano
• Scipy, Scikit-learn pandas
• Numpy + Neural Network architectures/LLM

Good to have

• Deploying models and performing model drift analysis on cloud platforms