Mlops / Llmops Engineer Mid Level Gulbarga
Mlops / Llmops Engineer Mid Level Gulbarga
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Gulbarga, India
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Posted: less than a week ago
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Description
MLOps / LLMOps Engineer
Remote
Fulltime Permanent Role
Exp.
- 5+ Years
Max Salary Range 25 LPA
Job Summary
As an MLOps / LLMOps Engineer, you will design, automate, and operate scalable ML and
LLM systems on our client enterprise Lakehouse platform.
You will work closely with Data Science, Engineering, and Product teams to deploy reliable,
secure, and production-ready ML and GenAI solutions. This role focuses on operationalizing
ML models, building CI/CD pipelines, ensuring governance and compliance, and maintaining
high-performance, observable AI systems.
Primary Responsibility
ML/LLM Platform Development
• Operationalize model training, evaluation, packaging, and deployment using
Databricks, Delta Lake, and medallion architecture.
• Implement Unity Catalog model governance, lineage tracking, and access control.
• Develop reusable job templates, cluster policies, and standardized deployment
patterns.
ML/LLM Production Deployment
• Deploy and manage ML and GenAI solutions including risk scoring, anomaly detection,
predictive maintenance, NLP, and RAG pipelines.
• Build and optimize LLM pipelines using vector databases, model serving endpoints,
and inference workflows.
• Optimize models using quantization, caching, and performance tuning techniques.
• Implement batch and real-time inference pipelines with defined SLAs.
Reliability, Security & Compliance
• Implement data contracts, schema validation, and data quality checks across ML
pipelines.
• Ensure secure handling of sensitive data including PII detection, classification, and
obfuscation.
• Maintain full lineage from data sources to deployed models and serving endpoints.
• Enforce data residency, governance, and compliance policies.
CI/CD Automation & Testing
• Implement CI/CD pipelines using GitHub Actions and Databricks Asset Bundles.
• Automate deployments across DEV, QA, and PROD environments.
• Develop unit and integration tests for data pipelines and ML models.
• Ensure version control, reproducibility Apply on Kit Job: kitjob.in/job/4mq0aa
Remote
Fulltime Permanent Role
Exp.
- 5+ Years
Max Salary Range 25 LPA
Job Summary
As an MLOps / LLMOps Engineer, you will design, automate, and operate scalable ML and
LLM systems on our client enterprise Lakehouse platform.
You will work closely with Data Science, Engineering, and Product teams to deploy reliable,
secure, and production-ready ML and GenAI solutions. This role focuses on operationalizing
ML models, building CI/CD pipelines, ensuring governance and compliance, and maintaining
high-performance, observable AI systems.
Primary Responsibility
ML/LLM Platform Development
• Operationalize model training, evaluation, packaging, and deployment using
Databricks, Delta Lake, and medallion architecture.
• Implement Unity Catalog model governance, lineage tracking, and access control.
• Develop reusable job templates, cluster policies, and standardized deployment
patterns.
ML/LLM Production Deployment
• Deploy and manage ML and GenAI solutions including risk scoring, anomaly detection,
predictive maintenance, NLP, and RAG pipelines.
• Build and optimize LLM pipelines using vector databases, model serving endpoints,
and inference workflows.
• Optimize models using quantization, caching, and performance tuning techniques.
• Implement batch and real-time inference pipelines with defined SLAs.
Reliability, Security & Compliance
• Implement data contracts, schema validation, and data quality checks across ML
pipelines.
• Ensure secure handling of sensitive data including PII detection, classification, and
obfuscation.
• Maintain full lineage from data sources to deployed models and serving endpoints.
• Enforce data residency, governance, and compliance policies.
CI/CD Automation & Testing
• Implement CI/CD pipelines using GitHub Actions and Databricks Asset Bundles.
• Automate deployments across DEV, QA, and PROD environments.
• Develop unit and integration tests for data pipelines and ML models.
• Ensure version control, reproducibility Apply on Kit Job: kitjob.in/job/4mq0aa
Highlights
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Company nameProtonlogics IT Solutions
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Job positionMlops / Llmops Engineer Mid Level Gulbarga
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