AIML Engineer

Optimeyes

Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.

Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. 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.

Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

Ensuring that algorithms generate accurate user recommendations.

Verifying data quality, and/or ensuring it via data cleaning.

Supervising the data acquisition process if more data is needed.

Defining validation strategies.

Defining the pre-processing or feature engineering to be done on a given dataset

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.

Deploying models to production.

Documenting machine learning processes.

Keeping abreast of developments in machine learning.

• Experience

  6 - 12 Years

• No. of Openings

  2

• Education

  Higher Secondary, Secondary School, Professional Degree

• Role

  ML Engineer

• Industry Type

  IT-Hardware & Networking / IT-Software / Software Services

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Home