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Build efficient, data-driven artificial intelligence systems that advance predictive automation capabilities.

Requirements

• 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)

Responsibilities

• Solve complex problems with multi-layered data sets, and optimize existing machine learning libraries and frameworks
• 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
• Assess, analyze, and organize large amounts of data
• Execute tests and optimize machine learning models and algorithms
• Identify differences in data distribution that could potentially affect model performance in real-world applications

Other

• 5-10 years experienced machine learning engineer
• W2 contract only.
• Hybrid