Hiring For Machine Learning Engineer @ Renuka Interprises

Job Description

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Machine Learning Engineer Responsibilities:
Consulting with managers to determine and refine machine learning objectives.
Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Running tests, performing statistical analysis, and interpreting test results.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.

Other Details
Salary-30,000/- to 48,000/-
Required Experience-0 To 10
Minimum Age-18

Machine Learning Engineer Requirements:
Qualification Required-Diploma,B.tech,M.tech,
Bachelor's degree in computer science, data science, mathematics, or a related field.
0 To 10 years of industry experience also can apply
Work Department-Data Scientist,Tester,Machine Learning Engineer

Work Industry-IT,Automation
Skills-Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
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HR Placement Team

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Keyskills:   computer science sql python analysis machine learning