AI/ML Ops Engineer

Work Model : Onsite / Bangalore

Working Hours : 8:00 AM - 5:00 PM IST

Role Overview :

We are looking for an experienced AI / MLOps Platform Engineer with proven expertise in delivering, operating, and supporting enterprise AI platforms for production and mission-critical workloads.

The ideal candidate will have strong hands-on experience across ML Engineering, Generative AI, Agentic AI, AIOps, MLOps, and Platform Engineering, along with experience integrating leading AI providers including OpenAI, Azure OpenAI, Google Gemini, Anthropic, AWS Bedrock, and open-source models.

Experience in AI FinOps management and multi-cloud Site Reliability Engineering (SRE) will be an added advantage.

Primary / Mandatory Skills :

1. AIOps / MLOps & Platform Engineering

2. Agentic AI Engineering

3. Generative AI Engineering

Nice to have Skills :

1. AI FinOps Expertise

2. Multi-Cloud Site Reliability Engineering

Key Expectations :

- Design, implement, and operate enterprise-grade AI/MLOps platforms supporting production and mission-critical workloads.

- Ensure AI platforms are scalable, highly available, secure, observable, and reliable.

- Automate ML/AI deployment, monitoring, evaluation, governance, and operational processes.

- Enable enterprise adoption of Generative AI and Agentic AI capabilities.

- Implement robust LLMOps, model monitoring, quality evaluation, and hallucination detection practices.

- Drive cloud-native platform engineering across Azure, GCP, and AWS.

- Collaborate with AI/ML engineers, data scientists, application teams, cloud teams, security teams, and enterprise stakeholders.

- Continuously improve platform reliability, operational efficiency, automation, and AI workload cost optimization.