Machine Learning Research Engineer III
TechnergeticsFull Time
Junior (1 to 2 years)
The ideal candidate must have 5+ years of experience as a Machine Learning Engineer, with strong expertise in Natural Language Processing (NLP) and transformers. Proven experience developing machine learning models and algorithms, including Deep Learning with frameworks like Tensorflow, Keras, or Pytorch, is required. Proficiency in Python programming and SQL for data manipulation is essential. Experience with LLMs and Prompt Engineering is also necessary, along with preferred experience in Google Cloud, developing model APIs using FastAPI or BentoML, search and recommender systems, and AWS services.
The contractor will develop and implement machine learning algorithms to solve complex problems, design and maintain data pipelines including transformations and preprocessing, and develop methods for effective data analysis and insight generation. They will create and optimize innovative algorithms for various applications, conduct data analysis to identify trends and insights, and test hypotheses and validate models through rigorous experimentation.
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