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Photon
Sr ML and AI (Legacy) - Chennai
Photon
Chennai•On-site•5-8 Yrs•Jun 26
Job description
Overview
We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms.
Responsibilities
- Analyze use cases and design appropriate analytics models using statistical and machine learning algorithms tailored to specific business requirements.
- Develop machine learning algorithms to drive personalized customer experiences and provide actionable business insights.
- Apply expertise in data mining and machine learning techniques, including forecasting, prediction, segmentation, recommendation, and fraud detection.
- Extend and augment company data with third-party data to enrich analytics capabilities.
- Enhance data collection procedures to include necessary information for building analytics systems.
- Prepare raw data for analysis, including cleaning, imputing missing values, and standardizing data formats using Python data frameworks (e.g., Pandas, NumPy).
- Implement machine learning models, considering both performance and scalability using tools like PySpark in Databricks.
- Design and build infrastructure to facilitate large-scale data analytics and experimentation.
- Work with tools like Jupyter Notebooks for data exploration and model development.
Qualifications
- At least 5 years of experience in data analytics, with a strong understanding of core statistical algorithms such as classification and regression analysis.
- High-level knowledge of analytics use cases such as language analysis, assortment optimization, promotional planning, dynamic pricing, markdown optimization, labor scheduling, and optimization.
- Technical Skills:
- Strong experience with Python-based machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Proficiency in using analytics platforms like Databricks for large-scale data processing.
- At least 4 years of continuous experience with Spark, particularly PySpark implementation.
- Hands-on experience with data processing and analysis tools such as Pandas, NumPy, and Jupyter Notebooks.