JOB DESCRIPTION •

(AI) Data Scientist/Python Developer

Infomina
Job Type:
Contract
Location:
KL Ecocity, Bangsar
Key Responsibilities:
 
  • Conduct thorough data exploration and discovery analyses across multiple data sources.
  • Design and execute experiments with data, developing working prototypes to illustrate concepts and findings effectively.
  • Improve and optimize existing Python repositories, ensuring code quality and implementing best practices.
  • Leverage big data technologies to construct scalable distributed AI pipelines and algorithms.
  • Develop AI components and conduct experimentation on real-world data, leading to the integration of machine learning and AI functionalities into our products.
  • Collaborate closely with data source providers to identify and develop new use cases that address challenges for our customers and clients effectively.
  • Utilize Git for version control and Docker for containerization to streamline development processes and ensure consistent deployment environments.
Requirements:
 
  • A minimum of 1 to 3 years of hands-on experience in applying machine learning, data mining, and statistical analysis techniques, with a proven track record of delivering measurable commercial impact.
  • Demonstrated ability to tackle high-level, loosely defined business problems and translate them into precise, quantifiable solutions.
  • Strong proficiency in Python and experience with data science libraries such as Pandas, NumPy, and Scikit-learn.
  • Experience with version control systems like Git and containerization tools like Docker.
  • Self-motivated and resourceful individual capable of exploring various tools and crafting code and scripts for data manipulation, experimentation, algorithm implementation, and accuracy assessments.
  • Proficient in databases and engines for both structured and unstructured data, data transformation (ETL), distributed computing, software development methodologies, and data science languages such as PySpark and SQL.
  • Excellent communication skills, with the ability to articulate complex data insights clearly and effectively to both internal stakeholders and external clients

Preferred Qualifications:
 
  • Experience or background in working with Large Language Models (LLMs) or related natural language processing (NLP) techniques.
  • Proficiency in Computer Vision (CV) techniques or related skill sets.
  • Familiarity with advanced topics in AI and machine learning, such as deep learning, reinforcement learning, or NLP.