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Data Engineer

posted by: spj_bot

At InfyStrat, we are on the lookout for an innovative and skilled Data Engineer to join our dynamic team. In this position, you will be responsible for building and maintaining our data architecture, ensuring that our data is accessible, reliable, and timely. You will leverage your expertise to design robust data pipelines and optimize data flows to support analytical and operational needs across the organization. Collaborating with data analysts, data scientists, and other stakeholders, you will gather requirements to create scalable data solutions that drive business intelligence and insights. If you have a passion for data and enjoy tackling complex challenges, we want to hear from you!

Core Responsibilities

  • Design, develop, and maintain data pipelines to support ETL processes.
  • Ensure data quality and integrity across various data sources and systems.
  • Collaborate with cross-functional teams to identify data requirements and create data models.
  • Utilize big data technologies for large-scale data processing.
  • Monitor and troubleshoot performance issues related to data processes.
  • Stay updated on the latest technologies and best practices within the data engineering field.

Requirements

Job Skills

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MLOps Engineer - (Remote - India, Malta, UK)

posted by: spj_bot

About Jobgether

JJobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for an MLOps Engineer in India, Malta, and the United Kingdom.

In this role, you will be responsible for building and optimizing machine learning pipelines, ensuring the quality of data, automating model retraining and validation, and creating systems for monitoring models in production. The ideal candidate will bring a deep understanding of Python and MLOps principles, as well as an attention to detail and a thoughtful approach to problem-solving. You'll be working with advanced technologies to enhance model performance and contribute to the company’s ML operations.

Accountabilities:

  • Design and build ELT pipelines for efficient data processing and analysis.
  • Construct automated MLOps pipelines for continuous model retraining and validation.
  • Implement CI/CD pipelines to ensure smooth deployment of machine learning models and services.
  • Develop services to monitor the performance and health of machine learning models in production environments.
  • Collaborate with cross-functional teams to optimize model performance and maintain high standards of data quality.

Requirements

Job Skills

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