freehire launches on Product Hunt on 26 August.

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Data Scientist

Summary

Build and deploy AI/ML models (LLMs, RAG, multi-agent systems) in Python/SQL to solve business problems, then productionize and monitor them.

Are you ready to tackle complex business challenges through innovative data science solutions? Join a dynamic team within a leading organization in the IT industry that is driving digital transformation and leveraging cutting-edge AI technologies.

What You'll Do:

  • Design, develop, and deploy comprehensive data science solutions to solve intricate business problems.

  • Perform data extraction, cleansing, feature engineering, and exploratory data analysis.

  • Develop, validate, and monitor predictive, prescriptive, and optimization models using advanced statistical and machine learning techniques.

  • Apply techniques including Generalised Linear Models (GLMs), Clustering, XGBoost, Deep Learning, and cutting-edge AI such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent architectures.

  • Identify opportunities to incorporate Generative AI to enhance customer experiences, operational efficiency, and strategic decision-making.

  • Write production-quality Python and SQL code following best practices.

  • Support deployment, monitoring, governance, and continuous improvement of models.

  • Collaborate with business stakeholders and technical teams to translate requirements into scalable analytical solutions.

  • Communicate complex technical concepts clearly to diverse audiences.

  • Mentor junior Data Scientists and promote a culture of technical excellence.

Requirements:

  • 4+ years of experience in Data Science or related fields.

  • Strong skills in Data Analysis, Python, SQL, Statistical Analysis, Machine Learning, and Artificial Intelligence.

  • Proven ability to develop end-to-end data science solutions.

  • Experience with cloud technologies and emerging AI trends is advantageous.

Familiarity with the following:

  • Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Multi-agent AI architectures.

  • Model deployment and monitoring tools.

What We'll Give You:

  • A competitive salary package.

  • Hybrid work flexibility.

  • An innovative environment focused on growth and learning.

  • Opportunities to work on pioneering AI projects.

Ready to make a significant impact with your data science expertise? Apply now and become an integral part of a forward-thinking organization that values innovation and excellence.

See also