Senior Machine Learning Engineer - Traditional
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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level ML role, Bangalore location and generalist requirements drive high candidate competition.
Core ML engineering skills are transferable across industries, though retail domain knowledge is beneficial.
Explicit 4+ years and required ML, Python, and AWS skills enforce moderate filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and fine-tune traditional ML models for regression/classification tasks, focusing on sales forecasting or growth prediction using time-series and tabular data.
Utilize Python and ML libraries (Scikit-learn, Pandas, NumPy) within Jupyter Notebook environments for model development and presentations.
Work with AWS cloud services (AWS S3, Amazon Redshift) for data ingestion, storage, and retrieval, and handle feature engineering, EDA, and data quality tasks.
Minimum Requirements
4+ years experience in Traditional Machine Learning & Predictive Modeling, especially in sales forecasting or growth prediction.
Strong proficiency in Python and relevant ML libraries (Scikit-learn, Pandas, NumPy).
Experience working independently with minimal supervision, collaborating with business and technical teams.
Working knowledge of AWS data ecosystem including AWS S3 and Amazon Redshift.
Ideal Candidate Profile
Experienced in handling and preparing large datasets with missing values and inconsistencies for unified analytical use.
Comfortable operating in cloud-based development environments focused on predictive analytics.
Preferably has domain knowledge of retail/store KPIs and segmentation frameworks, and can communicate model outputs effectively to non-technical stakeholders.