Description

You will build, fine-tune, and deploy machine learning and AI models using supervised and unsupervised techniques. Your work involves applying Generative AI foundation models to practical applications and developing deep-learning NLP models, including LLMs.

Responsibilities

• Develop and fine-tune deep-learning NLP models and LLMs.
• Build and deploy machine learning models using various algorithms.
• Perform data preparation activities including wrangling, cleaning, feature engineering, and tokenization.
• Apply Generative AI foundation models to practical applications.

Required Skills

• 5+ years of overall professional experience.
• 3+ years of experience in ML, AI, and Data Science.
• Proficiency in Python, R, or Java/Scripting development.
• Experience with PyTorch, TensorFlow, scikit-learn, Spark MLlib, or Caffe.
• Hands-on experience with OpenAI APIs and LLMs.
• Working knowledge of Spark and Hadoop.
• Strong SQL skills for data manipulation.
• Experience with data visualization tools and charting libraries.
• Conceptual understanding of Generative AI foundation models.

Key Skills

Education

Not specified