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InfosysVia Unstop

Posted yesterday

AI ML Engineer

Pay

Salary (undisclosed)

Location

Bangalore, India

On site

Apply by

16 Nov

12 days left

Skills this role screens for

PythonMachine learning conceptsTensorflowPytorchPython scientific libraries (numpy, scipy, pandas)

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Responsibilities

What you'll do

  • Develop, train, test, and deploy Machine Learning and Deep Learning models
  • Build AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics
  • Perform data collection, cleansing, feature engineering, and model optimization
  • Evaluate model performance using appropriate metrics and improve accuracy
  • Work with structured and unstructured datasets for business problem-solving
  • Develop APIs and integrate ML models into production applications
  • Collaborate with data scientists, software developers, and business stakeholders
  • Monitor model performance and maintain deployed AI solutions
  • Document model architecture, experiments, and deployment processes

Requirements

What they're looking for

  • Python programming
  • Machine Learning algorithms (regression, classification, clustering)
  • Deep Learning frameworks: TensorFlow, PyTorch, Keras
  • Data analysis using Pandas and NumPy
  • SQL and database management
  • REST APIs and model deployment
  • Version control using Git

Nice to have

What would help

  • Data visualization using Matplotlib, Seaborn, or Power BI
Full description from the employer

Infosys is hiring for the role of AI ML Engineer! Responsibilities of the Candidate: • Develop, train, test, and deploy Machine Learning and Deep Learning models. • Build AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques. • Perform data collection, cleansing, feature engineering, and model optimization. • Evaluate model performance using appropriate metrics and improve accuracy. • Work with structured and unstructured datasets for business problem-solving. • Develop APIs and integrate ML models into production applications. • Collaborate with data scientists, software developers, and business stakeholders. • Monitor model performance and maintain deployed AI solutions. • Document model architecture, experiments, and deployment processes Requirements: • Python programming • Machine Learning Algorithms (Regression, Classification, Clustering) • Deep Learning frameworks: TensorFlow, PyTorch, Keras • Data Analysis using Pandas, NumPy • SQL and Database Management • Data Visualization using Matplotlib, Seaborn, Power BI (optional) • REST APIs and Model Deployment • Version Control using Git

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