Senior Data Scientist

Job Summary

Responsibilities:

• Design and develop endtoend machine learning models for NLP applications.

• Finetune and deploy large language models such as BERT GPT and LLaMA for specific tasks.

• Build train and evaluate deep learning models using frameworks like TensorFlow PyTorch or Keras.

• Develop data pipelines and perform data wrangling using tools such as pandas and NumPy.

• Conduct statistical analysis and hypothesis testing to drive datainformed decisions.

• Build and maintain RESTful APIs for serving ML models in production.

• Collaborate with data scientists engineers and product teams to deliver scalable AI solutions.

• Continuously monitor and improve the performance of deployed models.

Requirements:

• Minimum 4 years of professional experience in machine learning and data science roles.

• Strong programming skills in Python and R.

• Indepth knowledge of statistics probability and experimental design.

• Proficiency with ML libraries including Scikitlearn pandas and NumPy.

• Experience in deep learning frameworks such as TensorFlow PyTorch or Keras.

• Handson experience with NLP libraries like NLTK spaCy TextBlob and Hugging Face Transformers.

• Proven experience with LLMs (e.g. GPT BERT LLaMA) including model finetuning and application.

• Experience in deploying models via RESTful APIs in production environments.

• Strong problemsolving skills and ability to work in a collaborative team environment.

Key Skills

• Laboratory Experience
• Mammalian Cell Culture
• Biochemistry
• Assays
• Protein Purification
• Research Experience
• Next Generation Sequencing
• Research & Development
• cGMP
• Cell Culture
• Molecular Biology
• Flow Cytometry

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