Tasknera HR Solution
AI/ML Engineer
Skills
10 days ago
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Important information
Contract type:
Permanent, Temporary
Location:
Karnataka, India
Work mode:
Onsite
Published on:
14 October 2026
What they need
AI / MLOps Platform Engineer
Experience: 5+ Years
Location: Bangalore, India
Work Mode: On-site – Bangalore
Position: FTE
Budget: ₹25–28 LPA
Role Overview
We are looking for an experienced AI / MLOps Platform Engineer with strong expertise in MLOps, AIOps, Generative AI, Agentic AI, and AI Platform Engineering to build and operate enterprise-grade AI platforms for production and mission-critical workloads.
Key Responsibilities
Design and operate production-grade AI/MLOps platforms and ML lifecycle automation.
Implement CI/CD, Continuous Training, model deployment, monitoring, drift detection, and LLM evaluation.
Design and deploy Agentic AI and Generative AI solutions with enterprise integrations.
Build scalable and highly available AI platforms across Azure, GCP, and AWS.
Ensure AI platforms are secure, reliable, observable, governed, and cost-efficient.
Mandatory Skills
AIOps / MLOps / AI Platform Engineering.
Vertex AI / Azure ML / SageMaker.
MLflow / Kubeflow / Argo Workflows.
CI/CD, GitHub Actions, Azure DevOps, GitOps.
Terraform / Bicep.
Kubernetes – AKS / GKE / EKS.
Agentic AI: LangGraph / CrewAI / AutoGen / Semantic Kernel.
Generative AI: OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, AWS Bedrock.
LLMOps, RAG, Vector Databases, and Semantic Search.
LangChain / LlamaIndex / Semantic Kernel.
AI/Model Monitoring, Drift Detection, LLM Evaluation, and Hallucination Monitoring.
Experience with Tool Calling, Workflow Orchestration, Agent Memory, Human-in-the-Loop, and Agent Governance.
Good to Have
AI FinOps / FinOps Practitioner.
AI workload, GPU, and LLM token cost optimization.
Multi-Cloud SRE.
Prometheus / Grafana / Azure Monitor / Google Cloud Monitoring / Datadog.
SLOs, SLIs, and Error Budgets.
Self-Healing and Operational Automation.
Mandatory Skills – Quick Screening
MLOps | AIOps | AI Platform Engineering | Vertex AI / Azure ML / SageMaker | MLflow / Kubeflow | CI/CD & GitOps | Terraform / Bicep | Kubernetes | Agentic AI | Generative AI | LLMOps | RAG | Vector Databases | AI/Model Monitoring
Pay: Up to ₹2,800,000.00 per year
Work Location: In person
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