Optimize Predictive Automation Software

1 week ago

Hyderabad, Telangana, India beBeeMachineLearning Full time ₹ 10,20,000 - ₹ 19,10,000

Job Opportunity

We are seeking a skilled Machine Learning Engineer to join our team.

As a machine learning engineer, you will play a key role in optimizing our machine learning systems. You will be responsible for evaluating existing machine learning processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To succeed in this role, you should demonstrate solid data science knowledge and experience in a related ML role. A highly effective machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Key Responsibilities:

  1. Consulting with managers to determine and refine machine learning objectives.
  2. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
  3. Transforming data science prototypes and applying appropriate ML algorithms and tools.
  4. Ensuring that algorithms generate accurate user recommendations.
  5. Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
  6. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
  7. Developing ML algorithms to analyze huge volumes of historical data to make predictions.
  8. Running tests, performing statistical analysis, and interpreting test results.
  9. Documenting machine learning processes.
  10. Keeping abreast of 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 will be advantageous.
  • At least 10 years' 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.

Apply now for this exciting opportunity to join our team as a machine learning engineer.

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