Lead Data Architect

1 week ago


Anywhere in IndiaMultiple Locations TETRAHED INC Full time
Job Description

At TETRAHED INC, we're seeking a highly skilled Lead Data Architect to join our team. As a key member of our data science group, you will play a critical role in driving the development and implementation of advanced data science solutions.

We're looking for someone with a strong background in machine learning and experience working with large datasets. Your expertise in deep learning techniques, including clustering, decision trees, and random forests, will be essential in helping us drive business value through data-driven insights.

In this role, you'll have the opportunity to work closely with our LLM specialists to integrate large language models into our data science pipelines and applications. You'll also collaborate with cross-functional teams to design and implement data preprocessing, cleaning, and augmentation techniques.

Key Responsibilities:

  • Develop and deploy advanced data science models and algorithms, including LLMs, to solve complex business problems.
  • Design and implement data preprocessing, cleaning, and augmentation techniques.
  • Collaborate with LLM experts to integrate LLMs into data science pipelines and applications.

Requirements:

  • 11+ years of experience preferred.
  • Advanced degree in computer science, data science, or a related field.
  • Deep understanding of LLM architectures, algorithms, and techniques.
  • Strong experience in Python, SQL, and cloud platforms (AWS, GCP, Azure).
  • Proficient knowledge of machine learning concepts and algorithms.
  • Certifications in cloud platforms or ML technologies can be a plus.

Benefits:

  • Competitive salary: $250,000 - $350,000 per year.
  • Opportunities for professional growth and development.
  • A collaborative and dynamic work environment.
  • A comprehensive benefits package.

Please note that we're looking for someone who is extremely comfortable with Numpy, Pandas, Matplotlib, and Scikit-learn. If you're passionate about data science and eager to take on new challenges, please apply



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