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MLOps Engineer Job Opening In Pune – Now Hiring Persistent Systems


Job description

About Position:


We are hiring a skilled MLOps Engineer to build and manage robust ML pipelines that support scalable, secure, and automated deployment of machine learning models.

This role is critical in enabling seamless collaboration between data science, engineering, and DevOps teams for enterprise-grade AI/ML adoption.


  • Role: MLOps Engineer
  • Location: All Persistent Location
  • Experience: 5 to 8 years
  • Job Type: Full Time Employment


What You'll Do:


  • You will design and automate ML pipelines, deploy models at scale, and ensure operational excellence across AI/ML systems.
  • Build and manage end-to-end MLOps pipelines for model training, testing, deployment, monitoring, and retraining
  • Implement CI/CD workflows for ML models using Jenkins, GitHub Actions, or ArgoCD
  • Automate model deployment using Docker, Kubernetes, and Kubeflow
  • Collaborate with data scientists and ML engineers to productionize models and ensure reproducibility
  • Monitor model performance and data drift, enabling timely retraining and updates
  • Manage model versioning, lineage, and governance
  • Integrate ML workflows with cloud platforms (GCP Vertex AI, AWS SageMaker, Azure ML)
  • Implement logging, monitoring, and alerting systems for deployed ML services
  • Optimize ML workloads for scalability, efficiency, and cost-effectiveness
  • Ensure adherence to security, compliance, and responsible AI practices in MLOps


Expertise You'll Bring:


  • You’ll bring hands-on experience in MLOps engineering, cloud-native platforms, and automation tools, with a strong focus on reliability and scalability.
  • 5–8 years of IT/DevOps/Data Engineering experience, with at least 3+ years in MLOps
  • Strong programming skills in Python (experience with ML/AI libraries is a plus)
  • Hands-on with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, ArgoCD)
  • Proficiency in containerization & orchestration (Docker, Kubernetes)
  • Experience with MLOps tools: MLflow, Kubeflow, Airflow, TFX
  • Familiarity with cloud ML services (Vertex AI, SageMaker, Azure ML)
  • Knowledge of model monitoring frameworks (Prometheus, Grafana, Evidently AI)
  • Strong background in version control (Git) and artifact management
  • Understanding of Agile/Scrum delivery practices


Benefits:


  • Competitive salary and benefits package
  • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
  • Opportunity to work with cutting-edge technologies
  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
  • Annual health check-ups
  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents


Values-Driven, People-Centric & Inclusive Work Environment:


Persistent Ltd.

is dedicated to fostering diversity and inclusion in the workplace.

We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference.

We welcome diverse candidates from all backgrounds.


  • We support hybrid work and flexible hours to fit diverse lifestyles.
  • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
  • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment


Let’s unleash your full potential at Persistent - persistent.com/careers


“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your MLOps Engineer Potential: Insight & Career Growth Guide


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

590663 Jobs in India
590663
13674 Jobs in Pune
13674
Download Mlops Engineer Jobs Trends in Pune and India

Are You Looking for MLOps Engineer Job?

Great news! is currently hiring and seeking a MLOps 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 Persistent Systems 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 MLOps Engineer 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 MLOps Engineer?

Key qualifications for MLOps 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.

How Can I Improve My Chances of Getting Hired for MLOps Engineer?

To improve your chances of getting hired for MLOps 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 MLOps Engineer Job Success

Persistent Systems interview tips for MLOps Engineer

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

Before the Interview:

Research: Learn about the Persistent Systems'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 MLOps Engineer interview at Persistent Systems, 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 Persistent Systems'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!

How to Set Up Job Alerts for MLOps Engineer Positions

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