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
Average salary estimate
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