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Machine Learning Engineer - Google Cloud Platform/Vertex AI Job Opening In Bengaluru – Now Hiring QUARKS TECHNOSOFT PRIVATE LIMITED


Job description

<p><p><b>Role :</b> Machine Learning Engineer<br/><br/><b>Experience :</b> 610 Years<br/><br/><b>Location :</b> Bangalore, Noida, Pune (Onsite)<br/><br/><b>Type :</b> Full-time<br/><br/>We are seeking a highly skilled and collaborative Machine Learning Engineer with deep expertise in Google Cloud Platform (GCP) and Vertex AI to join our growing ML Engineering team.

You will play a critical role in designing, building, and deploying production-grade ML systems and pipelines that power key products and solutions.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design and develop scalable ML pipelines using Vertex AI Pipelines, Kubeflow, and Cloud Functions<br/><br/></p><p>- Build, train, tune, and deploy models using Vertex AI (AutoML and custom training jobs)<br/><br/></p><p>- Collaborate with Data Scientists to productionize research models using GCP tools like BigQuery, Dataflow, and Cloud Storage<br/><br/></p><p>- Ensure end-to-end ML lifecycle management : training, validation, deployment, versioning, and monitoring<br/><br/></p><p>- Apply MLOps best practices for CI/CD in ML (model registry, pipeline automation, reproducibility)<br/><br/></p><p>- Optimize model performance and cost across cloud services<br/><br/></p><p>- Work closely with cross-functional teams (Data Engineers, Product Managers, and DevOps) to deliver high-impact ML solutions<br/><br/><b>Required Skills :</b><br/><br/>- 610 years of experience in building and deploying machine learning solutions<br/><br/></p><p>- Strong hands-on experience with Google Cloud Platform (GCP) services, especially : Vertex AI (AutoML, Workbench, Pipelines, Model Registry), Cloud Functions, Cloud Storage, Dataflow</p><p><br/></p><p>- Solid programming skills in Python (with ML libraries like scikit-learn, TensorFlow, or PyTorch)<br/><br/></p><p>- Experience with CI/CD tools for ML (e.g., Cloud Build, GitHub Actions, MLflow)<br/><br/></p><p>- Good understanding of ML pipeline orchestration, monitoring, and retraining strategies<br/><br/></p><p>- Exposure to containerization (Docker) and orchestration (Kubernetes)<br/><br/><b>Preferred Skills :</b><br/><br/>- Experience with MLOps frameworks (e.g., TFX, Kubeflow)<br/><br/></p><p>- Experience with data versioning tools like DVC<br/><br/></p><p>- Exposure to multi-cloud environments or hybrid cloud setups<br/><br/></p><p>- Previous experience in large-scale enterprise ML systems</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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

19677 Jobs in India
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1689 Jobs in Bengaluru
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Are You Looking for Machine Learning Engineer Google Cloud Platform/Vertex AI Job?

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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 QUARKS TECHNOSOFT PRIVATE LIMITED adheres to the cultural norms as outlined by Expertini.

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1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. 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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Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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