MLOps / LLMOps Engineer (Mid-Level)

Irth · AI/ML

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Full TimePosted Sep 13, 2026

Source: Himalayas

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UTC +5.5 hours — no hybrid days in this listing.

Not open from Hungary

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Category
AI/ML
Employment type
Full Time
Experience level
Mid

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Pay, compared

76 of 304 AI/ML roles publish a salary

Typical AI/ML role$206,500 / year

Median of published salaries. Full reported spread in this market: $15,000–$351,000, outliers included.

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Original employer: IrthSource ATS: HimalayasJob status: Active

The MLOps/LLMOps Engineer will build and productionize ML and GenAI pipelines on Databricks for a US-based SaaS company. The role is fully remote but restricted to candidates residing in India.

The engineer will be responsible for the full ML lifecycle including model deployment, automated testing, and observability within the Irth Insights team. The role focuses on scaling AI capabilities for critical infrastructure, utility, and energy sectors, requiring a deep understanding of MLOps best practices and secure, governed data architecture.

Why You’ll Love This Role

Location restricted to India
Mid-level seniority
Focus on Databricks LLM/RAG productionization
Fully remote role in India

What You’ll Bring

Experience with Databricks Lakehouse and Unity Catalog
Proficiency in designing and managing LLM and RAG pipelines
Experience with CI/CD automation using Databricks Asset Bundles and GitHub Actions
Background in implementing ML model monitoring and observability
Knowledge of data security and PII handling in machine learning workflows

What You’ll Get

Benefits not specified in the listing

About the Company

Irth Solutions provides cloud-based SaaS software for damage prevention, asset integrity, and land management. The company has nearly three decades of experience serving utility, telecom, and energy infrastructure sectors.

Listing checked for remote eligibility · Posted Sep 13, 2026 · HimalayasApply
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