Description

Skills

 

  • Proficiency with a deep learning framework such as TensorFlow or Langchain

 

  • Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas

 

  • Expertise in visualizing and manipulating big datasets

 

  • Familiarity with Linux

 

  • Ability to select hardware to run an ML model with the required latency

 

  • Analytical thinking in defining the automation pipelines

 

 

Responsibilities

 

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

 

  • Managing available resources such as hardware, data, and personnel so that deadlines are met

 

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

 

  • 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

 

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

 

  • Supervising the data acquisition process if more data is needed

 

  • Finding available datasets online that could be used for training

 

  • Defining validation strategies

 

  • Defining the preprocessing or feature engineering to be done on a given dataset

 

  • Defining data augmentation pipelines

 

  • Training models and tuning their hyperparameters

 

  • Building stateful chatbots

 

  • Effcient ways of using LLMs

 

  • Analyzing the errors of the model and designing strategies to overcome them

 

  • Deploying models to production


 

Desired Skills and Experience

TensorFlow or Langchain,Unix

Education

Any Graduate