Description

You will build, fine-tune, and deploy machine learning and AI models, including generative AI foundation models and deep-learning NLP architectures.

This role is on-site.

Responsibilities

• Develop and fine-tune deep-learning NLP models and LLMs.
• Build and deploy machine learning models using supervised and unsupervised techniques.
• Perform data preparation activities including wrangling, cleaning, feature engineering, and tokenization.
• Apply Generative AI foundation models to practical applications.
• Maintain strong SQL skills for data manipulation and use visualization tools for charting.

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.
• Conceptual understanding of Generative AI foundation models.

Preferred Skills

• Experience with data visualization tools and charting libraries.

Key Skills

Education

Not specified