4 - 7 years

7 - 8 Lacs

Posted:2 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Develop a deep understanding of different types of data, metrics, and KPIs to identify and formulate data science problems that drive impactful solutions.
  • Proficiency in Python/PySpark for AI development, data preprocessing, and scripting.
  • Strong understanding of core machine learning and statistical concepts including supervised, unsupervised, and reinforcement learning, feature engineering, and model optimization.
  • Handson experience in building, training, and deploying ML models for use cases such as prediction, recommendation, NLP, and computer vision.
  • Proficiency in Python and machine learning libraries such as scikitlearn, TensorFlow, PyTorch, XGBoost, and Hugging Face Transformers.
  • Familiarity with deep learning architectures CNNs, RNNs, Transformers and use cases in NLP, CV, and recommendation systems.
  • Experience with data preprocessing, feature selection, model evaluation, and hyperparameter tuning techniques.
  • Ability to design and deploy scalable ML pipelines leveraging cloud platforms preferably AWS, but Azure experience is also acceptable.
  • Familiarity with API development, microservices, and integrating ML models into enterprise applications.
  • Understanding of data security, goverce, and cost optimization in cloudbased AI environments.
  • Experience in AWS AI and ML services, including SageMaker, Lambda, Step Functions, API Gateway, and CloudWatch, for model deployment and orchestration.
  • Ability to work with containerization tools (Docker, Kubernetes) for deploying ML workloads.

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