4 - 8 years
4 - 8 Lacs
Posted:1 week ago|
Platform:
On-site
Full Time
What You'll Do: Write complex SQL queries for data extraction, perform exploratory data analysis (EDA) to uncover insights. Strong proficiency in Python and Py Spark for scalable data processing and analytics. Create, transform, and optimize features to enhance model performance. Train, evaluate, and maintain machine learning models in production. Write efficient, maintainable, and version-controlled code that handles large datasets. Regularly update internal teams and clients on project progress, results, and insights. Conduct hypothesis testing and experiment analysis to drive data-driven decisions using AB testing. Scaling machine learning algorithms to work on massive data sets and strict SLAs. Automate operations pipeline which runs on regular intervals to update required datasets. What You'll Bring: A master s or bachelor s degree in computer science or a related field from a top university. 4+ years of hands-on experience in Machine Learning (ML) or Data Science with a focus on building scalable solutions. Strong programming expertise inPython and PySparkis must. Proven ability to write highlyoptimized SQL queriesfor efficient data extraction and transformation. Experience in feature engineering, inferencing pipelines, and real-time model prediction deployment. Strong fundamentals inapplied statistics, with expertise inA/B test designand hypothesis testing. Solid understanding of distributed computing systems and hands-on experience with at least one cloud platform (GCP, AWS, or Azure) Additional Skills Understanding of Git, DevOps, CI / CD, data security, experience in designing on cloud platform. Experienced in automating operations using job scheduler like Airflow Experience in data engineering in Big Data systems
Zscaler Softech
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