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Urgent! Machine Learning Developer - Data Modeling Job Opening In Bengaluru – Now Hiring Volto Consulting & Services

Machine Learning Developer Data Modeling



Job description

<p><p><b>Role : Machine Learning Developer</b><br/><br/>We are seeking a highly skilled and experienced Machine Learning Developer to join our global service-based client on a full-time basis.<br/><br/>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.<br/><br/>This role offers the opportunity to work on complex data-driven solutions and contribute to impactful business insights and automation initiatives.<br/><br/>- Design, develop, and deploy machine learning models and data-driven solutions for real-world business problems.<br/><br/>- Work extensively on time series forecasting, regression models, and supervised/unsupervised learning techniques.<br/><br/>- Develop and maintain robust, scalable, and reusable code using Python and relevant ML libraries.<br/><br/>- Analyze large datasets, extract meaningful patterns, and engineer relevant features.<br/><br/>- Collaborate with data engineers, business stakeholders, and software developers to integrate ML models into production systems.<br/><br/>- Optimize model performance and regularly tune hyperparameters to improve accuracy and efficiency.<br/><br/>- Create comprehensive documentation and visualizations using tools like matplotlib or seaborn.<br/><br/>- Stay updated with the latest research, tools, and trends in machine learning and data science.<br/><br/><b>Required Skills and Experience :</b><br/><br/>- Minimum 8+ years of total experience, with 5+ years in Machine Learning or Data Science roles.<br/><br/>- Strong proficiency in Python programming, scripting, and data manipulation.<br/><br/>- In-depth experience with key libraries : Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, etc.<br/><br/>- Solid hands-on expertise in Time Series Forecasting, including techniques like ARIMA, Prophet, LSTM, or other advanced models.<br/><br/>- Strong foundation in regression analysis, linear and non-linear models.<br/><br/>- Good understanding of statistics, probability, and data structures.<br/><br/>- Ability to write clean, modular, and efficient code suitable for deployment.<br/><br/>- Familiarity with Jupyter Notebooks, Git, and standard development practices.<br/><br/><b>Good to Have :</b><br/><br/>- Experience with deep learning frameworks such as TensorFlow or PyTorch.<br/><br/>- Exposure to cloud platforms like AWS, Azure, or GCP.<br/><br/>- Knowledge of ML model deployment and monitoring techniques.<br/><br/>- Understanding of MLOps workflows</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Mathematical Science Occupations



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