Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
A Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field is required, along with 5-8 years of proven experience in data science, machine learning, or AI.
Proficiency in Python and data science libraries like scikit-learn, TensorFlow, PyTorch is required, along with experience in generative AI models, LLMs, GANs, prompt engineering for models like GPT-3.5, statistical analysis, and machine learning algorithms.
They conduct experiments on large datasets for NLP and LLM, define project scopes with manager support and execute independently, support junior staff, and handle advanced data analysis, modeling, ML implementation, data visualization, collaboration, research, model deployment, and documentation.
The job promotes a healthy work/life balance with a 'work in a way that works for you' approach, but specific remote or location details are not specified.
This information is not specified in the job description.
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