Python Developer
VirtusaIndia3 days ago
Full-timeEngineering, Information Technology
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Job Description
Mandatory SkillsPython,NoSQL,Deep Learning,Machine Learning,Hadoop,inference engines,Machine/Deep Learning (algorithms, neural networks),Natural Language Processing (detection, classification),,Spark/HadoopDescription
Roles & ResponsibilitiesDesign and implement AI architectures, algorithms, models, NLP, deep learning, and frameworks that can solve business problems and achieve the desired outcomes. Use various tools and technologies to collect, process, analyze, and visualize data from various sources and formatsTrain, test, validate, and optimize the AI solutions using appropriate methods and metrics.Deploy and maintain the AI solutions in production environments and ensure their scalability, reliability, and security.Document and report the AI processes, methodologies, and outcomes.May assist in creating and maintaining AI pipelines for automation.Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to develop AI solutions that address specific business needs.Strong programming skills in Python (primary), with experience in R or Scala.Hands-on experience with machine learning and deep learning frameworks such as scikit-learn, TensorFlow, PyTorch, and XGBoost.Proficient in data analysis and visualization using Pandas, NumPy, and Matplotlib, with strong knowledge of ML techniques such as regression, classification, clustering, and NLP.Comfortable with cloud platforms like Amazon Web Services, Microsoft Azure, and Google Cloud, with excellent communication, problem-solving, and collaborative skills.Strong programming in Python (with R/Scala knowledge)Machine learning & deep learning frameworks expertiseBig data processing (Apache Spark/Hadoop)Data analysis & visualization (Pandas, NumPy, etc.)Cloud platforms experience (AWS, Azure, Google Cloud)
Mandatory SkillsPython,NoSQL,Deep Learning,Machine Learning,Hadoop,inference engines,Machine/Deep Learning (algorithms, neural networks),Natural Language Processing (detection, classification),,Spark/HadoopDescription
Roles & ResponsibilitiesDesign and implement AI architectures, algorithms, models, NLP, deep learning, and frameworks that can solve business problems and achieve the desired outcomes. Use various tools and technologies to collect, process, analyze, and visualize data from various sources and formatsTrain, test, validate, and optimize the AI solutions using appropriate methods and metrics.Deploy and maintain the AI solutions in production environments and ensure their scalability, reliability, and security.Document and report the AI processes, methodologies, and outcomes.May assist in creating and maintaining AI pipelines for automation.Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to develop AI solutions that address specific business needs.Strong programming skills in Python (primary), with experience in R or Scala.Hands-on experience with machine learning and deep learning frameworks such as scikit-learn, TensorFlow, PyTorch, and XGBoost.Proficient in data analysis and visualization using Pandas, NumPy, and Matplotlib, with strong knowledge of ML techniques such as regression, classification, clustering, and NLP.Comfortable with cloud platforms like Amazon Web Services, Microsoft Azure, and Google Cloud, with excellent communication, problem-solving, and collaborative skills.Strong programming in Python (with R/Scala knowledge)Machine learning & deep learning frameworks expertiseBig data processing (Apache Spark/Hadoop)Data analysis & visualization (Pandas, NumPy, etc.)Cloud platforms experience (AWS, Azure, Google Cloud)
Key Skills
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