Data Science Reliability Engineer - Pune, India - Kudzu Infotech

Description

Overview:

The DataScience Reliability Engineer plays a crucial role in ensuring thereliability scalability and efficiency of data science systems andmodels within the organization. This role involves collaboratingwith data scientists and software engineers to develop deploy andmaintain datadriven solutions that power critical businessprocesses.

KeyResponsibilities:

• Design andimplement scalable and reliable data pipelines and infrastructurefor machine learning models.
• Collaborate withdata scientists and software engineers to optimize modelperformance and reliability.
• Develop andmaintain monitoring and alerting systems for data scienceapplications.
• Automate model deployment testingand validation processes.
• Conduct root causeanalysis for data science system failures and implement preventivemeasures.
• Work with crossfunctional teams tointegrate data science solutions into productionsystems.
• Contribute to the design anddevelopment of data governance and securityprotocols.
• Identify opportunities to improvescalability reliability and efficiency of data scienceinfrastructure.
• Stay updated with the latesttechnologies and best practices in data science reliabilityengineering.
• Document technical designsprocesses and procedures.

RequiredQualifications:

• Bachelors or Mastersdegree in Computer Science Data Science or a relatedfield.
• Proven experience in data engineeringsoftware engineering or a related role.
• Strongproficiency in Python and other programming languages used in datascience.
• Knowledge of machine learning conceptsand techniques.
• Experience with cloud platformssuch as AWS Azure or GCP.
• Proficiency in dataprocessing frameworks like Apache Spark orHadoop.
• Experience with containerization andorchestration tools such as Docker andKubernetes.
• Solid understanding of data storageand database technologies.
• Expertise inbuilding and maintaining data pipelines and ETLprocesses.
• Excellent problemsolving andanalytical skills.
• Effective communication andcollaboration abilities within crossfunctionalteams.
• Experience with DevOps practices andtools is a plus.
• Knowledge of data governanceand regulatory compliance is desirable.
• Abilityto thrive in a fastpaced and dynamicenvironment.

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