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ML Platform Engineer (Cloudera or Azure + Python + ML) Job Opening In Pune – 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 ML Platform Potential: Insight & Career Growth Guide


Real-time ML Platform 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 ML Platform in Pune, India, highlighting market share and opportunities for professionals in ML Platform roles.

36027 Jobs in India
36027
831 Jobs in Pune
831
Download Ml Platform Jobs Trends in Pune and India

Are You Looking for ML Platform Engineer (Cloudera or Azure + Python + ML) Job?

Great news! is currently hiring and seeking a ML Platform Engineer (Cloudera or Azure + Python + ML) to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

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.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for ML Platform Engineer (Cloudera or Azure + Python + ML) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Pune. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for ML Platform Engineer (Cloudera or Azure + Python + ML)?

Key qualifications for ML Platform Engineer (Cloudera or Azure + Python + ML) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for ML Platform Engineer (Cloudera or Azure + Python + ML) Job Success

Luxoft interview tips for ML Platform Engineer (Cloudera or Azure + Python + ML)

Here are some tips to help you prepare for and ace your ML Platform Engineer (Cloudera or Azure + Python + ML) 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.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

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

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your ML Platform Engineer (Cloudera or Azure + Python + ML) interview at Luxoft, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Luxoft's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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