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Machine Learning Engineer Job Opening In Bangalore Division – Now Hiring INSPYR Solutions


Job description

🚀Position 1: MLOps Engineer II (Mid-Level)

Location: Remote (Night Shift – 10 PM to 7 AM CST)

Contract: 12 months (Renewable)

Start Date: December 1, 2025


🔎 Role Overview

We are seeking a proficient MLOps Engineer (Level II) with 2–4 years of experience in ML operations, pipelines, and production deployments.

The ideal candidate will be hands-on, detail-oriented, and capable of working independently to ensure ML models are deployed, monitored, and maintained effectively.


🎯 Responsibilities

  • Deploy and maintain ML models in production (AWS SageMaker, MLflow, Kubeflow).
  • Manage CI/CD pipelines and infrastructure as code (Terraform, ArgoCD).
  • Support ETL/data workflows using Airflow or Astronomer.
  • Collaborate with data scientists to transition models into production environments.
  • Troubleshoot issues, perform root cause analysis, and drive remediation.


🛠 Qualifications

  • 2–4 years of experience in MLOps or DevOps.
  • Strong Python skills for automation & workflow management.
  • Hands-on with cloud ML tools and orchestration frameworks.
  • Familiarity with CI/CD and monitoring best practices.




🚀 Position 2: MLOps Engineer III (Senior-Level)

Location: Remote (Night Shift – 10 PM to 7 AM CST)

Contract: 12 months (renewable)

Start Date: December 1, 2025


🔎 Role Overview

We are hiring a Senior MLOps Engineer (Level III) with 4–6 years of experience designing and scaling ML infrastructure.

This role requires technical leadership, mentorship, and deep expertise in automation and hybrid environments.

The Engineer III will set best practices, lead monitoring strategies, and ensure reliable integration across teams.


🎯 Responsibilities

  • Lead design of scalable MLOps frameworks and automation strategies.
  • Build and optimize monitoring/alerting systems for drift, accuracy, and latency.
  • Manage governance and versioning with GitHub Enterprise and JFrog Artifactory.
  • Enhance deployment/retraining pipelines (Terraform, ArgoCD).
  • Partner with Big Data and Work Routing teams for system reliability.
  • Mentor junior engineers and lead knowledge transfer sessions.



🛠 Qualifications

  • 4–6 years of experience in MLOps, DevOps, or ML Engineering.
  • Advanced proficiency in automation, pipelines, and hybrid infra (on-prem + cloud).
  • Hands-on expertise with Terraform, ArgoCD, and orchestration tools.
  • Strong leadership and communication skills.



📌 Why Join?

  • Be part of an INSPYR Solutions Managed Service team.
  • Work on cutting-edge production ML infrastructure.
  • Fast selection: one interview with the hiring manager.
  • Opportunity to contribute to a long-term, high-impact engagement.

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 Bangalore Division, India, highlighting market share and opportunities for professionals in Machine Learning roles.

19854 Jobs in India
19854
238 Jobs in Bangalore Division
238
Download Machine Learning Jobs Trends in Bangalore Division and India

Are You Looking for Machine Learning Engineer Job?

Great news! is currently hiring and seeking a Machine Learning Engineer 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 INSPYR Solutions 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 Machine Learning Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bangalore Division. 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 Machine Learning Engineer?

Key qualifications for Machine Learning Engineer 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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To improve your chances of getting hired for Machine Learning Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Machine Learning Engineer Job Success

INSPYR Solutions interview tips for Machine Learning Engineer

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

Before the Interview:

Research: Learn about the INSPYR Solutions'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 Machine Learning Engineer interview at INSPYR Solutions, 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 INSPYR Solutions'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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