Urgent! Machine Learning Engineer - Google Cloud Platform/Vertex AI Job Opening In Noida – Now Hiring QUARKS TECHNOSOFT PRIVATE LIMITED
<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)
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Noida, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Noida, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 18637 jobs in India and 201 jobs in Noida. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! QUARKS TECHNOSOFT PRIVATE LIMITED is currently hiring and seeking a Machine Learning Engineer Google Cloud Platform/Vertex AI to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer Google Cloud Platform/Vertex AI Jobs Noida.
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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Key qualifications for Machine Learning Engineer Google Cloud Platform/Vertex AI typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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