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Machine Learning Developer - Data Modeling

Machine Learning Developer - Data Modeling

Volto Consulting & ServicesBangalore
3 days ago
Job description

Role : Machine Learning Developer

We are seeking a highly skilled and experienced Machine Learning Developer to join our global service-based client on a full-time basis.

The ideal candidate should have a strong foundation in Python programming and be well-versed in applying machine learning models, especially in the areas of time series forecasting and regression.

This role offers the opportunity to work on complex data-driven solutions and contribute to impactful business insights and automation initiatives.

  • Design, develop, and deploy machine learning models and data-driven solutions for real-world business problems.
  • Work extensively on time series forecasting, regression models, and supervised / unsupervised learning techniques.
  • Develop and maintain robust, scalable, and reusable code using Python and relevant ML libraries.
  • Analyze large datasets, extract meaningful patterns, and engineer relevant features.
  • Collaborate with data engineers, business stakeholders, and software developers to integrate ML models into production systems.
  • Optimize model performance and regularly tune hyperparameters to improve accuracy and efficiency.
  • Create comprehensive documentation and visualizations using tools like matplotlib or seaborn.
  • Stay updated with the latest research, tools, and trends in machine learning and data science.

Required Skills and Experience :

  • Minimum 8+ years of total experience, with 5+ years in Machine Learning or Data Science roles.
  • Strong proficiency in Python programming, scripting, and data manipulation.
  • In-depth experience with key libraries : Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, etc.
  • Solid hands-on expertise in Time Series Forecasting, including techniques like ARIMA, Prophet, LSTM, or other advanced models.
  • Strong foundation in regression analysis, linear and non-linear models.
  • Good understanding of statistics, probability, and data structures.
  • Ability to write clean, modular, and efficient code suitable for deployment.
  • Familiarity with Jupyter Notebooks, Git, and standard development practices.

    • Good to Have :

  • Experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Exposure to cloud platforms like AWS, Azure, or GCP.
  • Knowledge of ML model deployment and monitoring techniques.
  • Understanding of MLOps workflows

    • (ref : hirist.tech)

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    Machine Learning Developer • Bangalore