SE - Python, AI Professional

2 - 7 years

9 - 13 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Overview

  • In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch
  • Experience with popular Python frameworks such as Django, Flask or Pyramid
  • Knowledge of data science and machine learning concepts and tools
  • A working understanding of cloud platforms such as AWS, Google Cloud or Azure
  • Contributions to open-source Python projects or active involvement in the Python community
  • Experience with front-end development using HTML, CSS, and JavaScript
  • Familiarity with database technologies such as SQL and NoSQL
  • Excellent problem-solving ability with solid communication and collaboration skills
  • Analyzing the ML algorithms that could be used to solve a given problemVerifying data quality, and/or ensuring it via data cleaningSupervising the data acquisition process if more data is needed Finding available datasets online that could be used for training
  • Defining validation strategiesDefining the preprocessing or feature engineering to be done on a given dataset Defining data augmentation pipelinesTraining models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to productionProficiency with a deep learning framework
  • Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandasExpertise in visualizing and manipulating big datasetsProficiency with Open CVFamiliarity with LinuxAbility to select hardware to run an ML model with the required latency

Responsibilities

  • Responsible for designing, developing, automating, and maintaining software applications, participating in all phases of the software development lifecycle (SDLC)

Requirements

  • In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch
  • Experience with popular Python frameworks such as Django, Flask or Pyramid
  • Knowledge of data science and machine learning concepts and tools
  • A working understanding of cloud platforms such as AWS, Google Cloud or Azure
  • Contributions to open-source Python projects or active involvement in the Python community
  • Experience with front-end development using HTML, CSS, and JavaScript
  • Familiarity with database technologies such as SQL and NoSQL
  • Excellent problem-solving ability with solid communication and collaboration skills
  • Analyzing the ML algorithms that could be used to solve a given problemVerifying data quality, and/or ensuring it via data cleaningSupervising the data acquisition process if more data is neededFinding available datasets online that could be used for trainingDefining validation strategies
  • Defining the preprocessing or feature engineering to be done on a given dataset
  • Defining data augmentation pipelinesTraining models and tuning their hyperparametersAnalyzing the errors of the model and designing strategies to overcome them Deploying models to productionProficiency with a deep learning framework
  • Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
  • Expertise in visualizing and manipulating big datasetsProficiency with OpenCVFamiliarity with LinuxAbility to select hardware to run an ML model with the required latency

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