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Machine Learning Engineer

Flexi Careers
Location: Chennai, Experience: 3 years - 5 years
Posted On: 22-Aug-2023 | Last Date to Apply: 30-Jun-2024 | No: of Vacancies : 1

Company Profile:

Leading BPO company

Job description:

Job Description – Machine Learning Engineer


Candidate needs to be an expert in machine learning to extract value from data and Will lead all of the processes from data collection, cleaning, and pre-processing, to training models and deploying them to production.




  • Analysing 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.
  • MLops lifecycle management , develop, test, deploy and monitor
  • Experience in using Business Intelligence tools such as PowerBI, Kibana etc.
  • 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 pre-processing or feature engineering to be done on a given dataset.
  • Defining data augmentation pipelines.
  • Training models and tuning their hyperparameters.
  • Analysing the errors of the model and designing strategies to overcome them.
  • Deploying models to production.
  • Ability to utilise cloud resources and functionalities to build and deploy ML models.
  • Ability to containerise and productionise ML models and creating end points for inference.


Required Skillset:


  • 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 two 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 modelling, and software architecture.
  • In-depth knowledge of mathematics, statistics, and algorithms.
  • Machine Learning, Deep Learning & Exploratory Data Analysis
  • TensorFlow, Keras, Python, Pandas
  • Natural Language Processing, Text analytics / Text mining and Computer vision
  • Pattern Recognition
  • Containerization of ML models


Machine Learning,Python,



Gender Preference:


Job Type:

Full Time

Diversity Tags:

Not Applicable