Data Scientist

TymblHub; Bengaluru; On-site; INR 1,500,000 - 3,000,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Indemnités de stage/alternance

Job summary

Cloudxtreme in Bengaluru is seeking a Data Scientist to design and manage ML deployment pipelines and scalable infra for model serving onsite. You will implement observability, enhance retraining workflows, and optimize costs within a distributed cloud environment.

You will lead a small team to ensure production reliability, security, and efficient lifecycle management of AI models and vector databases such as FAISS/Pinecone/Milvus.

Qualifications

• 6–11 years of hands-on experience in data science or ML engineering.
• Strong background in ML model deployment and production systems.
• Experience with cloud platforms (AWS/GCP/Azure) and containers.

Responsibilities

• Design and manage CI/CD pipelines for ML model deployment.
• Provision and maintain scalable infrastructure using Kubernetes, Docker, AWS Lambda, or cloud services.
• Automate model deployment workflows, ensuring reproducibility and version control.
• Implement monitoring, alerting, and observability for ML systems (latency, throughput, data drift, failures).
• Integrate with model orchestration pipelines (Airflow, Prefect) to support retraining and inference workflows.
• Manage model registry, versioning, and rollout strategies (blue/green, canary deployments).
• Ensure security, compliance, and cost optimization for ML infra.
• Manage vector databases (Opensearch, Pinecone, FAISS, Milvus) for GenAI retrieval pipelines.

Skills

CI/CD pipelines

Model deployment

Cloud infrastructure

Monitoring observability

Retraining workflows

Model registry management

Security & cost optimization

Vector DB management

Education

B.E./B.Tech

Tools

Kubernetes

Docker

AWS Lambda

Cloud platforms (AWS/GCP/Azure)

Airflow

Prefect

Terraform

Helm

OpenSearch

Pinecone

FAISS

Milvus

Job description

# Data ScientistCloudxtremePosted on September 5, 2026---Experience6 - 11 yrsSalary (CTC)₹15L - ₹30LJob LocationBengaluru, IndiaVacancy1DesignationData ScientistJob TypeONSITE---## Job DescriptionKey / Primary Responsibilities: ''\\* Design and manage CI/CD pipelines for ML model deployment.\\* Provision and maintain scalable infrastructure using Kubernetes, Docker, AWS Lambda, or cloud services (AWS/GCP/Azure).\\* Automate model deployment workflows, ensuring reproducibility and version control.\\* Implement monitoring, alerting, and observability for ML systems (latency, throughput, data drift, failures).\\* Integrate with model orchestration pipelines (Airflow, Prefect) to support retraining and inference workflows.\\* Manage model registry, versioning, and rollout strategies (blue/green, canary deployments).\\* Ensure security, compliance, and cost optimization for ML infra.\\* Manage vector databases (Opensearch, Pinecone, FAISS, Milvus) for GenAI retrieval pipelines.Secondary Responsibilities:\\* Work closely with ML Engineers and Data Scientists to understand model requirements.\\* Support real-time and batch inference pipelines by ensuring infra scalability and resilience.\\* Troubleshoot deployment and runtime issues across containers, APIs, and cloud services.\\* Document and standardize infrastructure-as-code practices (Terraform, Helm, etc.).\\* Manage GPU/accelerator infra for LLM fine-tuning or inference optimization.Key Success Metrics: Model Uptime and Reliability, Model Performance in production, Efficiency of Spark Jobs, Workflow Automation Efficiency, User Satisfaction and Internal Feedback.Professional Degree: Any B.E/B.TechMandatory Certification: Machine Learning or Data Science.Managerial & Leadership Responsibilities: 'Leading a team of 4 Data scientist and ML engineers to deliver on primary and secondary responsiblities..