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Data Engineer

6.00 to 9.00 Years   Pune,Bangalore   24 Oct, 2024
Job LocationPune,Bangalore
EducationNot Mentioned
SalaryRs 10 - 16 Lakh/Yr
IndustryInsurance
Functional AreaIT Operations / EDP / MIS
EmploymentTypeFull-time

Job Description

    Hi,We have an urgent opening for the vacancy of Data Engineer.Location - Bangalore & PuneMandatory Skills- SQL , Python, Data LakeRoles and Responsibilities:Manage multiple ML projects from conception to deployment.Collaborate with product managers, engineers, and stakeholders to understand requirements and deliver solutions.Ensure timely delivery of projects while maintaining high-quality standards.Design, develop, and optimize ML models for various use cases like policy underwriting, claims operation, marketing etcConduct experiments, perform A/B testing, and refine models based on feedback and performance metrics.Develop pipelines for data extraction, transformation, and loading (ETL) specific to ML tasks.Work closely with engineering teams to integrate ML solutions into products.Strong leadership and project management abilities.Effective communication and interpersonal skills.Skills RequiredProficiency in Python programming languages Hands on experience in SQL and ETL developmentHaving implemented ML projects using Regression, Classification & Unsupervised Learning models is a mustFramework for deep learning such as TensorFlow, PyTorch and Keres used for project implementation.Understanding of ML deployment process with experience in working with a MLOPs set up is a plus Experience with Cloud Platforms (AWS or Azure), and Containerization technologies such as Docker.Knowledge of RESTful API and microservice architecture for deploying ML models. Experience in the BFSI industry, specifically in insurance processes such as quote generation, policy issuance, finance, and claims management are a plusStrong understanding of Agile methodology and experience working in Agile environments.Strong Business Acumen & experience in deriving insights from Data.If interested - Share cv on hidden_email

Keyskills :
datalakesql

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