AIML Engineer

· 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

  12th Pass

• 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