ML Engineer

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