
Machine Learning Engineer
14 hours ago
Job Title: Data Scientist
- Data Analysis and Modeling:
- Work with raw data to perform data cleaning, transformation, and feature engineering to prepare datasets for analysis.
- Collaborate with cross-functional teams to gather and understand data requirements.
- Model Deployment and Monitoring:
- Maintain, optimize, and scale recommendation engines used in FMCG or consumer goods environments to ensure high availability, accuracy, and low-latency performance across channels.
- Continuously improve recommendation models using advanced ML techniques such as collaborative filtering, content-based filtering, matrix factorization, and hybrid recommender systems Model.
- Collaboration and Communication:
- Communicate complex findings and insights in a clear and understandable manner to both technical and non-technical stakeholders.
- Collaborate with product, marketing, and engineering teams to integrate recommendations into consumer-facing applications, personalization engines, or B2B retail platforms.
- Bachelor's or master's degree in computer science, statistics, or a related field.
- Proven experience as a Data Scientist.
- Strong proficiency in Python for data analysis, statistical modeling, and machine learning (e.g., pandas, scikit-learn, statsmodels, NumPy).
- Hands-on experience in developing recommendation engine & Graph embedding algorithms like GraphSAGE.
- Hands-on experience on handling Large Dataset using Azure Databricks and Azure Cloud is must.
- Experience with machine learning frameworks (e.g. PyTorch, scikit-learn).
- Award-winning team collaboration environment.
- Frequent opportunities for training and self-directed learning.
- Supportive work culture emphasizing teamwork and innovation.
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