Talent.com
Python AI

Python AI

ConfidentialMumbai
30+ days ago
Job description
  • Key Responsibilities :
  • AI Model Development :
  • Design, develop, and implement AI models using Python and machine learning frameworks like TensorFlow , Keras , PyTorch , or Scikit-Learn .
  • Create algorithms and models for a wide range of AI applications, such as natural language processing (NLP) , image recognition , recommendation systems , and predictive analytics .
  • Work with large datasets, data preprocessing , and feature engineering to prepare data for training and model validation.
  • Machine Learning and Deep Learning :
  • Apply supervised and unsupervised learning techniques to solve problems in areas such as customer segmentation, anomaly detection, and forecasting.
  • Implement and fine-tune deep learning models for complex tasks such as image classification, computer vision , and natural language understanding .
  • Experiment with cutting-edge models like transformers (e.g., BERT , GPT ), CNNs , and RNNs .
  • Model Optimization and Tuning :
  • Optimize model performance using techniques such as hyperparameter tuning , model ensembling , and cross-validation .
  • Assess and enhance the accuracy , precision , and recall of models to ensure high-quality predictions.
  • Implement techniques for model deployment , including containerization using Docker or deploying models as REST APIs for integration.
  • AI System Integration :
  • Integrate AI models and machine learning algorithms into existing business systems and applications.
  • Work closely with software engineers and IT teams to deploy and scale AI solutions.
  • Design and develop data pipelines to automate the flow of data to and from AI systems.
  • Research & Innovation :
  • Stay up to date with the latest trends, methodologies, and advancements in AI, machine learning, and data science.
  • Conduct research and proof-of-concept experiments to explore new techniques and technologies that could benefit the organization.
  • Contribute to technical publications, blogs, and whitepapers on AI-related topics.
  • Collaboration & Support :
  • Collaborate with cross-functional teams, including data scientists, software engineers, product managers, and business analysts.
  • Provide AI expertise and support for troubleshooting, optimization, and performance monitoring.
  • Assist in training and mentoring junior AI developers and other team members.
  • Documentation & Reporting :
  • Document AI models, codebases, and methodologies for future reference and maintenance.
  • Generate reports and visualizations to present model performance and results to stakeholders and leadership.
  • Required Qualifications :

    • 3-5 years of professional experience in Python programming and AI / ML development .
    • Strong knowledge of AI and machine learning concepts such as classification , regression , clustering , deep learning , and reinforcement learning .
    • Hands-on experience with popular machine learning libraries like Scikit-Learn , TensorFlow , Keras , PyTorch , XGBoost , or LightGBM .
    • Proficiency in data manipulation and preprocessing using libraries like Pandas , NumPy , and SciPy .
    • Experience working with deep learning frameworks (e.g., TensorFlow , Keras , PyTorch ).
    • Strong understanding of neural networks , CNNs , RNNs , and transformer-based models (e.g., BERT , GPT ).
    • Solid experience in model evaluation and performance metrics such as accuracy , precision , recall , F1-score , and AUC .
    • Familiarity with NLP techniques (e.g., text preprocessing , sentiment analysis , text classification ) is a plus.
    • Experience in cloud platforms like AWS , Azure , or Google Cloud for deploying AI models at scale.
    • Skills Required

      Tensorflow, Keras, Pytorch, XGBoost

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