Senior Data Scientist
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Job Description
Responsibilities:
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Design and develop endtoend machine learning models for NLP applications.
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Finetune and deploy large language models such as BERT GPT and LLaMA for specific tasks.
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Build train and evaluate deep learning models using frameworks like TensorFlow PyTorch or Keras.
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Develop data pipelines and perform data wrangling using tools such as pandas and NumPy.
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Conduct statistical analysis and hypothesis testing to drive datainformed decisions.
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Build and maintain RESTful APIs for serving ML models in production.
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Collaborate with data scientists engineers and product teams to deliver scalable AI solutions.
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Continuously monitor and improve the performance of deployed models.
Requirements:
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Minimum 4 years of professional experience in machine learning and data science roles.
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Strong programming skills in Python and R.
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Indepth knowledge of statistics probability and experimental design.
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Proficiency with ML libraries including Scikitlearn pandas and NumPy.
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Experience in deep learning frameworks such as TensorFlow PyTorch or Keras.
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Handson experience with NLP libraries like NLTK spaCy TextBlob and Hugging Face Transformers.
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Proven experience with LLMs (e.g. GPT BERT LLaMA) including model finetuning and application.
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Experience in deploying models via RESTful APIs in production environments.
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Strong problemsolving skills and ability to work in a collaborative team environment.
Employment Type
Full Time
