Seeking Manager - Machine Learning (0-2 Yrs) for a MNC

Reliance Retail Ventures Limited
Applicants0
Posted26 days ago

Job Highlights

Experience0 - 2 Yrs
Salary11-11 LPA
LocationBangalore
Work ModelOnsite
RoleManager - Machine Learning
Openings1
EmploymentInternship
EducationM.Tech

Required Skills

PythonMachine Learning Algorithms (e.g., Regression, Classification, Clustering)Data Preprocessing and Feature EngineeringSQLFamiliarity with ML Libraries (e.g., Scikit-learn, TensorFlow, PyTorch)Problem-solvingAnalytical ThinkingCommunication SkillsTeamworkEagerness to Learn

Job Description

We are looking for a motivated and ambitious Manager - Machine Learning to join our dynamic team in Bangalore. This role is ideal for a recent graduate with a B.Tech/B.E. degree and a passion for leveraging data to drive business insights and build intelligent solutions. You will contribute to developing and deploying machine learning models that enhance customer experience, optimize operations, and fuel business growth within India's largest retail conglomerate.

Key Responsibilities:

Assist in the design, development, and implementation of machine learning models and algorithms.

Collaborate with data engineers and business analysts to understand data requirements and sources.

Perform data preprocessing, feature engineering, and model evaluation.

Contribute to the deployment and monitoring of machine learning solutions in production environments.

Stay updated with the latest advancements in machine learning and artificial intelligence.

Participate in code reviews and contribute to improving the team's best practices.

About Reliance Retail Ventures Limited

Reliance Retail Ventures Limited is India's leading retailer, operating a diverse portfolio of businesses across grocery, consumer electronics, fashion & lifestyle, and digital commerce. As a subsidiary of Reliance Industries Limited, it has been at the forefront of transforming India's retail landscape through innovation, technology, and a deep understanding of consumer needs. The company is committed to bringing the best products and services to Indian consumers through its extensive network of physical stores and online platforms.

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