Posted:2 days ago|
Platform:
On-site
Full Time
● 5 years of hands-on industry data science experience, using typical machine learning and data science tools including pandas, mlflow, scikit-learn, gensim, nltk, and TensorFlow/PyTorch
● Experience building production-grade machine learning deployments on AWS, Azure, or GCP including drift monitoring
● Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
● Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience
● Experience communicating and teaching technical concepts to non-technical and technical audiences alike
● Passion for collaboration, life-long learning, and driving value through ML
● [Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets
● [Preferred] Experience working with the Databricks platform
Bohiyaanam Talent
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