Role : ML Engineer Location : Sunnyvale CA or Austin, TX (Hybrid) Duration: W2 contract only. Job Description: • A 5-10 years experienced machine learning engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. • The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. • The candidate should also be able to execute tests and optimize machine learning models and algorithms. • Solve complex problems with multi-layered data sets, and optimize existing machine learning libraries and frameworks • Collaborate with other data scientists, data analysts, data engineers, and data architects on production systems and applications • Identify differences in data distribution that could potentially affect model performance in real-world applications • Construct optimized data pipelines to feed machine learning models • Run machine learning tests and experiments, and document findings and results • Train, retrain, and monitor machine learning systems and models as needed Required Skills : • Hands on with Python(Oops Concepts, LaMDA), TensorFlow, PyTorch, and Keras,ML(Statistical Model, Neural N/w etc), • Experience with Fast API, Rest API • Hands on SQL knowledge • Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms • Proficiency in machine learning and deep learning, including neural networks and large language models (LLMs