Senior AI Platform Engineer

Talent Zone Consultants; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Talent Zone Consultants in Bangalore seeks an experienced AI Platform Engineer to design, develop and run scalable AI platforms in production. You will collaborate with data scientists, software engineers and product managers to deliver robust AI solutions, optimize workflows and monitor performance.

7–10 years of experience, strong cloud, ML frameworks, and programming skills are required. This role provides exposure to GenAI, MLOps practices, and a fast-paced analytics environment in Bangalore.

Qualifications

• A deep understanding of AI and machine learning frameworks such as TensorFlow or PyTorch.
• Proficiency in programming languages like Python, Java, or C++ for building AI applications.
• Experience with cloud platforms (AWS, Google Cloud, Azure) for deploying AI solutions effectively.
• Strong problem-solving skills and the ability to analyze complex data sets.
• Excellent communication skills to collaborate effectively with various teams and present technical concepts to non-technical stakeholders.
• Previous experience in managing AI projects from inception to deployment, demonstrating leadership and strategic thinking.

Responsibilities

• Design and Develop AI Models: Create scalable AI models tailored for various applications, ensuring they meet performance and accuracy standards.
• Optimize AI Workflows: Streamline and improve existing AI workflows to enhance efficiency, reduce latency, and lower operational costs.
• Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, and product managers to ensure alignment on project goals and deliverables.
• Deploy AI Solutions: Implement and maintain AI systems in production environments, ensuring they are reliable, secure, and user-friendly.
• Monitor System Performance: Continuously analyze and monitor AI platform performance, making adjustments or updates as needed to improve functionality.
• Stay Updated on AI Trends: Keep up with the latest advancements in AI technology to incorporate innovative solutions and stay competitive.

Skills

LLMOps

AI Platform

Python

Kubernetes

MLflow

AWS

Azure

GenAI

RAG

Docker

CICD

Model Deployment

Model Monitoring

Tools

TensorFlow

PyTorch

Google Cloud

AWS

Azure

Kubernetes

Docker

MLflow

Job description

Job openings for Ai Platform Engineer in Bangalore

We are seeking an experienced AI Platform Engineer to join our team in Bangalore. The ideal candidate will have 7 to 10 years of experience in developing and managing AI platforms.

Key Responsibilities

• Design and Develop AI Models: Create scalable AI models tailored for various applications, ensuring they meet performance and accuracy standards.
• Optimize AI Workflows: Streamline and improve existing AI workflows to enhance efficiency, reduce latency, and lower operational costs.
• Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, and product managers to ensure alignment on project goals and deliverables.
• Deploy AI Solutions: Implement and maintain AI systems in production environments, ensuring they are reliable, secure, and user-friendly.
• Monitor System Performance: Continuously analyze and monitor AI platform performance, making adjustments or updates as needed to improve functionality.
• Stay Updated on AI Trends: Keep up with the latest advancements in AI technology to incorporate innovative solutions and stay competitive.

Required Skills and Expectations

• A deep understanding of AI and machine learning frameworks such as TensorFlow or PyTorch.
• Proficiency in programming languages like Python, Java, or C++ for building AI applications.
• Experience with cloud platforms (AWS, Google Cloud, Azure) for deploying AI solutions effectively.
• Strong problem-solving skills and the ability to analyze complex data sets.
• Excellent communication skills to collaborate effectively with various teams and present technical concepts to non-technical stakeholders.
• Previous experience in managing AI projects from inception to deployment, demonstrating leadership and strategic thinking.

Key Skills

• LLMOps
• AI Platform
• Python
• Kubernetes
• MLflow
• AWS
• Azure
• GenAI
• RAG
• Docker
• CICD
• Model Deployment
• Model Monitoring

Experience 7 - 10 Years

Salary Not Disclosed

Industry Analytic and Business Intelligence