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Senior MLOps Engineer (Production) Job Opening In Vapi – Now Hiring SAIVA AI


Job description

We are seeking a Senior Machine Learning Engineer to join our team and help shape the future of healthcare technology.

In this role, you will design, build, and deploy machine learning systems that power predictive analytics and intelligent decision support in healthcare.

You will take ownership of the full ML lifecycle—from data preparation, feature engineering, training, and evaluation to deployment and MLOps practices such as monitoring, scaling, and optimizing production systems.

The goal is to ensure that our models are robust, scalable, and cost-efficient.
This position is fully remote, open to candidates based in Europe or India , with periodic team gatherings in Mountain View, California.
What You’ll Do Build reliable, scalable, and reproducible ML pipelines using Python, PySpark, SQL, and Airflow (AWS MWAA).
Deploy ML models into production to address complex healthcare challenges.
Design and manage automated workflows with Docker, ECS/Kubernetes, and CI/CD pipelines.
Collaborate with research teams to transform prototypes into production-ready products.
Implement monitoring, logging, and retraining workflows; participate in the on-call process to support production ML pipelines.
Leverage AWS services (S3, SageMaker, Lambda, Athena, etc.) to train, deploy, and serve models.
Connect models with real-time and batch data sources via APIs and pipelines.
Contribute to code quality, reviews, and system design discussions.
Stay current with new tools, research, and best practices in ML, MLOps/LLMOps, and production-scale AI.
What We’re Looking For 5+ years of applied machine learning and data science experience, with strong MLOps expertise.
Proficiency in Python (Pandas, PySpark, LightGBM, PyTorch, HuggingFace, etc.) and SQL.
Experience with model development, feature engineering, evaluation, and deployment in real-world environments.
Hands-on expertise with Airflow; additional experience with Prefect, Dagster, Kubeflow, or similar tools is a plus.
Strong understanding of AWS infrastructure for ML (S3, SageMaker, ECS, Step Functions).
Experience with Docker and Kubernetes/ECS for packaging and deploying models.
Familiarity with CI/CD for ML (e.g., CircleCI, MLflow, model versioning, testing, automation).
Willingness to participate in the on-call rotation for ML pipeline monitoring and support.
Strong communication skills and ability to thrive in fast-paced, cross-functional teams.
If you’re passionate about building scalable ML systems that make a real-world impact in healthcare, we’d love to hear from you.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Senior MLOps Potential: Insight & Career Growth Guide


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

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2122 Jobs in Vapi
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Download Senior Mlops Jobs Trends in Vapi and India

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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 SAIVA AI adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

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What Is the Average Salary Range for Senior MLOps Engineer (Production) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Vapi. 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.

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Key qualifications for Senior MLOps Engineer (Production) 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 Senior MLOps Engineer (Production) Job Success

SAIVA AI interview tips for Senior MLOps Engineer (Production)

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

Before the Interview:

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

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Final Thought:

To prepare for your Senior MLOps Engineer (Production) interview at SAIVA AI, 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 SAIVA AI'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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