ML/AI Platform Engineers

Botmet Technologies; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Botmet Technologies is seeking experienced ML/AI Platform Architects/Engineers to design, build, and manage enterprise-scale AI/ML platforms. The role will focus on scalable, secure, production-ready capabilities, including Feature Stores, Model Catalogs, Agentic AI platforms, and AI Governance frameworks.

The candidate will own end-to-end architecture, implement reusable ML infrastructure, and collaborate with cross-functional teams to deliver robust AI solutions in a rapidly evolving cloud

Qualifications

• 5+ years of experience in AI/ML platform engineering, cloud architecture, or MLOps.
• Hands-on experience with Feature Stores, Model Catalogs/Registries, and MLOps frameworks.
• Proficiency in Python, APIs, Kubernetes, Docker, and Azure cloud.
• Knowledge of AI governance, security, compliance, and observability practices.

Responsibilities

• Design and own the end-to-end architecture for enterprise AI/ML platforms.
• Build and operationalize Feature Store and Model Catalog capabilities for reusable feature engineering and model versioning.
• Develop and manage Agentic AI platform infrastructure, including runtimes and orchestration frameworks.
• Establish and maintain Agent Catalog capabilities for deployment, discovery, monitoring, and governance of AI agents.
• Design and implement AI governance controls including access management, policy enforcement, audit logging, monitoring, and observability.
• Develop MLOps pipelines and cloud-native deployment frameworks for scalable AI/ML workloads.
• Collaborate with Data Science, Engineering, Security, and Business teams to deliver enterprise AI solutions.

Skills

Python

Kubernetes

MLOps

Cloud Architecture

AI Governance

APIs

Tools

Feature Stores

Model Catalogs/Registries

Agentic AI

LLM Platforms

Docker

Azure

Job description

Overview

We are seeking experienced ML/AI Platform Architects/Engineers to design, build, and manage enterprise-scale AI/ML platforms. The role will focus on establishing scalable, secure, and production-ready AI capabilities, including Feature Stores, Model Catalogs, Agentic AI platforms, and AI Governance frameworks.

Responsibilities

• Design and own the end-to-end architecture for enterprise AI/ML platforms.
• Build and operationalize Feature Store and Model Catalog capabilities to support reusable feature engineering, model versioning, and self-service ML adoption.
• Develop and manage Agentic AI platform infrastructure, including agent runtimes, orchestration frameworks, tool integrations, and agent lifecycle management.
• Establish and maintain Agent Catalog capabilities to enable deployment, discovery, monitoring, and governance of AI agents.
• Design and implement AI governance controls, including access management, policy enforcement, audit logging, monitoring, and observability.
• Develop MLOps pipelines and cloud-native deployment frameworks to support scalable AI/ML workloads.
• Collaborate with Data Science, Engineering, Security, and Business teams to deliver enterprise AI solutions.

Qualifications

• 5+ years of experience in AI/ML platform engineering, cloud architecture, or MLOps.
• Strong experience with AI/ML platforms, Feature Stores, Model Registries/Catalogs, and MLOps frameworks.
• Hands-on experience with Agentic AI, LLM platforms, and orchestration frameworks.
• Proficiency in Python, APIs, Kubernetes, Docker, and cloud platforms (Azure preferred).
• Knowledge of AI governance, security, compliance, and observability best practices.
• Strong problem-solving, architecture, and communication skills.