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MLOps / LLMOps Engineer

1 hour, 59 minutes ago
India
Full-time
Mid Level
AI Engineer
DevOps and Infrastructure
AWS Azure CI/CD Databricks Encryption Generative AI GitHub Actions Machine Learning MLflow MLOps NLP Power BI Python SQL
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Irth

Irth

Irth Solutions is a leading provider of SaaS cloud-based asset protection solutions that focus on damage prevention, risk analysis, and network infrastructure resilience. With nearly three decades of experience, Irth Solutions offers a wide range of fe...

Diversified Telecommunication Services
51-250
Founded 1985
View All Jobs 5

Description

  • Operationalize model training, evaluation, packaging, and deployment on Databricks using Delta Lake and medallion architecture.
  • Implement Unity Catalog governance, lineage tracking, and access controls for ML assets.
  • Develop reusable job templates, cluster policies, and standardized deployment patterns.
  • Deploy and manage ML and GenAI solutions such as risk scoring, anomaly detection, predictive maintenance, NLP, and RAG pipelines.
  • Build and optimize LLM pipelines using vector databases, model serving endpoints, and inference workflows.
  • Implement batch and real-time inference pipelines with defined service-level agreements.
  • Build data contracts, schema validation, and data quality checks across ML pipelines.
  • Ensure secure handling of sensitive data, including PII detection, classification, and obfuscation.
  • Implement CI/CD pipelines with GitHub Actions and Databricks Asset Bundles across DEV, QA, and PROD.
  • Monitor pipeline health, model performance, drift, reliability, and LLM metrics such as latency, hallucination rates, and API costs.

Requirements

  • 3–5 years of experience in MLOps, LLMOps, or ML platform engineering.
  • Hands-on experience with Databricks, Delta Lake, Unity Catalog, and ML deployment workflows.
  • Strong experience building CI/CD pipelines with GitHub Actions and infrastructure automation.
  • Experience implementing data quality validation, schema governance, and data contracts.
  • Experience building production-grade ML pipelines with monitoring and observability.
  • Strong security knowledge including RBAC, encryption, data residency, and governance practices.
  • Proficiency in Python, SQL, and distributed data processing frameworks.
  • Experience with LLM pipelines, prompt engineering, RAG workflows, and model optimization (preferred).
  • Experience with vector databases, model serving, and MLflow (preferred).
  • Experience with Azure and AWS cloud platforms, including security and networking (preferred).
  • Experience with geospatial data and analytics (preferred).
  • Familiarity with Power BI, semantic layers, and enterprise analytics platforms (preferred).
  • Bachelor’s or master’s degree in computer science, Software Engineering, or a related field, or equivalent professional experience.

Benefits

  • Competitive pay based on experience.
  • Opportunity to be an integral part of a dynamic, growing company.
  • Work at a well-respected company in its industry.

Interested in this position?

Apply directly on the company website

Apply Now

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