Data Science Pipeline Specialist

4 weeks ago


Delhi, Delhi, India MINDTEL GLOBAL PRIVATE LIMITED Full time

Job Summary

We are seeking a skilled Data Science Pipeline Specialist to join our innovative team at MINDTEL GLOBAL PRIVATE LIMITED. As an expert in machine learning operations, you will be responsible for designing, implementing, and maintaining scalable data science pipelines.

About the Role

  • Optimize Machine Learning Pipelines: Collaborate with data scientists and engineers to design, implement, and maintain efficient machine learning workflows.
  • Manage Infrastructure: Deploy and manage machine learning models using Databricks, ensuring high availability, reliability, and performance.
  • CI/CD for ML: Build and maintain automated pipelines using Jenkins to streamline code deployment, model training, and testing.
  • Cloud Operations: Design and manage cloud solutions on AWS and Azure, ensuring cost-efficiency and security for all ML operations.
  • Cross-functional Collaboration: Work closely with DevOps, data engineers, and product teams to integrate ML models into production systems.
  • Monitor and Troubleshoot: Implement monitoring and logging solutions to identify and resolve issues proactively, ensuring uninterrupted service delivery.

Requirements

We are looking for a highly motivated and experienced professional with a strong background in data science and machine learning operations. The ideal candidate should have:

  • 3-5 years of experience in MLOps, DevOps, or a related field, with a strong focus on automation, scalability, and cloud-based deployments.
  • Proficiency with Databricks for managing large-scale ML workflows.
  • Expertise in CI/CD tools like Jenkins.
  • Hands-on experience with AWS (SageMaker, S3, Lambda, etc.) and/or Azure (ML Studio, Kubernetes, etc.).
  • Strong scripting skills in Python, Bash, or similar languages.

Benefits

We offer a competitive salary of $120,000 per year, as well as a range of benefits including remote work flexibility, access to state-of-the-art tools and technologies, and opportunities for career growth and development.



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