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Machine Learning Platform Engineer Job Opening In India, India – Now Hiring Luxoft


Job description

Project description

We are seeking a skilled ML Platform Engineer, responsible for automating, deploying, patching, and maintaining our machine learning platform infrastructure.

The ideal candidate will have hands-on experience with Cloudera Data Science Workbench (CDSW), Cloudera Data Platform (CDP), Docker, Kubernetes, Python, Ansible, GitLab, and MLOps best practices.


Responsibilities

  • Automate deployment and management processes for machine learning platforms using tools such as Ansible and Python.
  • Deploy, monitor, and patch ML platform components, including Cloudera Data Science Workbench (CDSW), Docker containers, and Kubernetes clusters.
  • Ensure high availability and reliability of ML infrastructure through proactive maintenance and regular updates.
  • Develop and maintain comprehensive documentation for platform configurations, processes, and procedures.
  • Troubleshoot and resolve platform issues, ensuring minimal downtime and optimal performance.
  • Implement best practices for security, scalability, and automation within the ML platform ecosystem.


Mandatory Skills

  • DevOps/Platform Engineers+Cloudera or Azure+Python+ML
  • Hands-on experience with CDSW (Cloudera Data Science Workbench) or similar ML/AI platforms.
  • Strong expertise in containerization and orchestration using Docker and Kubernetes (AKS preferred).
  • Proficiency in Python programming (enterprise-level applications, automation, and scripting).
  • Experience with Ansible for infrastructure as code (IaC), deployment automation, and configuration management.
  • Strong knowledge of Unix/Linux systems (administration, troubleshooting, performance tuning).
  • Practical experience with GitLab for source control and CI/CD pipeline automation.
  • Deep understanding of MLOps principles and best practices (deployment, monitoring, lifecycle management of ML workloads).
  • Experience in designing, developing, and maintaining distributed systems and services.
  • Proven ability in patching, updating, and maintaining platform infrastructure.


Nice-to-Have Skills

  • Previous banking domain Exp
  • Familiarity with Cloudera CDP ecosystem (beyond CDSW).
  • Knowledge of monitoring & observability tools (Prometheus, Grafana, ELK).
  • Exposure to Airflow, MLflow, or Kubeflow for workflow and ML lifecycle orchestration.
  • Cloud platform experience with Azure (AKS, networking, storage, monitoring)

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Machine Learning in India, India, highlighting market share and opportunities for professionals in Machine Learning roles.

19677 Jobs in India
19677
1441 Jobs in India
1441
Download Machine Learning Jobs Trends in India and India

Are You Looking for Machine Learning Platform Engineer Job?

Great news! is currently hiring and seeking a Machine Learning Platform Engineer to join their team. Feel free to download the job details.

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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Luxoft adheres to the cultural norms as outlined by Expertini.

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Interview Tips for Machine Learning Platform Engineer Job Success

Luxoft interview tips for Machine Learning Platform Engineer

Here are some tips to help you prepare for and ace your Machine Learning Platform Engineer job interview:

Before the Interview:

Research: Learn about the Luxoft's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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