Description

You will design, build, and deploy machine learning and generative AI solutions using Python and AWS, translating business problems into technical models.

This role is on-site.

Responsibilities

  • Develop and optimize machine learning models and GenAI applications using Python, Hugging Face, and scikit-learn.
  • Architect and manage data pipelines, preprocessing, and feature engineering for large-scale projects on AWS.
  • Implement distributed computing frameworks and deploy models into production environments.
  • Collaborate with stakeholders to define requirements and communicate technical findings to non-technical teams.
  • Maintain code quality using version control (Git) and best practices for robust ML code.

Required Skills

  • 7+ years of professional experience in data science, machine learning, or AI roles.
  • Expert proficiency in Python and libraries such as Hugging Face Transformers or scikit-learn.
  • Hands-on experience with AWS Cloud Stack for infrastructure and deployment.
  • Deep understanding of LLMs, NLP, and GANs.
  • Strong SQL skills and experience working with databases.
  • Proven track record with large-scale machine learning projects and distributed computing.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

Preferred Skills

  • Experience translating complex business challenges into actionable data science solutions.
  • Strong communication skills for collaborating with cross-functional teams.

Education

Bachelor's degree