Data Scientist for Predictive Automation Optimization

7 days ago

Hyderabad, Telangana, India beBeeMachineLearning Full time ₹ 37,50,000 - ₹ 50,00,000
Optimize Machine Learning Systems

We are seeking a highly skilled machine learning engineer to lead our team in optimizing machine learning systems. The ideal candidate will have solid data science knowledge and experience in a related ML role, with expertise that translates into enhanced performance of predictive automation software.

Key Responsibilities:

  • Collaborate with managers to determine and refine machine learning objectives.
  • Design machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
  • Transform data science prototypes and apply appropriate ML algorithms and tools.
  • Ensure algorithms generate accurate user recommendations.
  • Turn unstructured data into useful information by auto-tagging images and text-to-speech conversions.
  • Solve complex problems with multi-layered data sets, and optimize existing machine learning libraries and frameworks.
  • Develop ML algorithms to analyze huge volumes of historical data to make predictions.
  • Run tests, perform statistical analysis, and interpret test results.
  • Document machine learning processes.
  • Stay up-to-date with developments in machine learning.

Desired Candidate Profile:

  • Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
  • Master's degree in Computational Linguistics, Data Analytics, or similar is advantageous.
  • At least 1 year's experience as a Machine Learning Engineer.
  • Advanced proficiency with Python, Java, and R code writing.
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
  • In-depth knowledge of mathematics, statistics, and algorithms.
  • Superb analytical and problem-solving abilities.
  • Great communication and collaboration skills.
  • Excellent time management and organizational abilities.

Functional Area:

  • Applied Mathematics
  • Computer Science Fundamentals and Programming
  • Machine Learning Algorithms
  • Data Modeling and Evaluation
  • Neural Networks
  • Natural Language Processing

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