Silent Eight

Python Developer

Silent Eight

full-time

Posted on:

Origin:  • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

  • Develop and maintain Python-based applications and tools that support our AML solutions
  • Implement, optimize, and deploy machine learning models, including large language models, to enhance our product capabilities
  • Collaborate with data scientists and cross-functional teams to integrate machine learning models into production systems
  • Design and implement data integration, validation, and quality check frameworks
  • Work on the entire machine learning pipeline, from data preprocessing to model deployment and monitoring
  • Create quick prototypes and present them to customers and internal stakeholders to drive product development
  • Analyze and process large-scale structured and unstructured data sets to support machine learning initiatives
  • Ensure the robustness, scalability, and efficiency of the developed applications and models
  • Provide technical support and troubleshoot issues related to machine learning models and Python applications
  • Follow best practices in coding, MLOps, and DataOps
  • Assist other teams in delivering proof-of-concept projects

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Strong proficiency in Python programming and related libraries (e.g., Pandas, NumPy, scikit-learn)
  • Experience in implementing and deploying machine learning models, including large language models (e.g., GPT, BERT)
  • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers
  • Experience with data preprocessing, feature engineering, and model evaluation techniques
  • Proficiency in working with large-scale datasets and SQL
  • Knowledge of MLOps practices and tools for continuous integration and deployment of machine learning models
  • Experience in designing and implementing data integration and validation frameworks
  • Strong problem-solving skills and attention to detail
  • Excellent communication skills to collaborate with cross-functional teams and present technical concepts to non-technical stakeholders
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies