Forward Deployed Engineer Development At Deloitte Deloitte Us India Offices Hyderabad Pune Bengaluru

Vibehackers; Hyderabad, Pune District; On-site; INR 1,620,000 - 1,980,000; Full time

Job summary

Deloitte Hyderabad

Forward Deployed Engineer role focusing on building, deploying, and maintaining scalable AI-powered applications. Work with Python on cloud platforms, integrating ML models and RAG capabilities into production systems while ensuring performance, security, and scalability.

Collaborate with cross-functional teams to troubleshoot deployment and data-pipeline issues, delivering robust and scalable AI solutions.

Qualifications

• 7–11 years of software development experience in AI/ML.
• Strong Python skills and ML libraries (TensorFlow or PyTorch).
• Experience with cloud platforms (AWS, Azure) and familiarity with GCP services.

Responsibilities

• Design, develop, test, deploy, and maintain scalable AI/ML applications using Python.
• Integrate machine learning models into existing systems and enable retrieval-augmented generation (RAG) capabilities.
• Collaborate with cross-functional teams to ensure seamless system integration.
• Troubleshoot complex issues related to AI model deployment, data pipeline management, and system architecture.
• Ensure code meets industry standards for performance, security, and scalability.

Skills

Python

AI/ML

RAG

Cloud Platforms

Data Pipelines

Tools

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

Forward Deployed Engineer Development At Deloitte Deloitte Us India Offices Hyderabad Pune Bengaluru

Works directly with AI/ML systems and RAG, so it's aligned with fast prototyping and integrating AI tooling into production systems.

About the Role

Design, develop, and maintain scalable AI-powered applications using Python on cloud platforms, integrating machine learning models and retrieval-augmented generation (RAG). Collaborate with cross-functional teams to deploy and troubleshoot model and data-pipeline related issues while ensuring performance, security, and scalability.

Job Description

Role

Forward Deployed Engineer responsible for building, deploying, and maintaining scalable AI-powered applications. The role focuses on integrating machine learning models (including RAG capabilities) into production systems and ensuring robust performance, security, and scalability on cloud platforms.

Key Responsibilities

• Design, develop, test, deploy, and maintain scalable AI/ML applications using Python.
• Integrate machine learning models into existing systems and enable retrieval-augmented generation (RAG) capabilities.
• Collaborate with cross-functional teams to ensure seamless system integration.
• Troubleshoot complex issues related to AI model deployment, data pipeline management, and system architecture.
• Ensure code meets industry standards for performance, security, and scalability.

Requirements

• 7–11 years of software development experience with expertise in artificial intelligence, machine learning, or a related field.
• Strong proficiency in Python and familiarity with ML libraries such as TensorFlow or PyTorch.
• Experience with cloud platforms and services (AWS, Azure) and familiarity with GCP services (Dataflow, Bigtable, Pub/Sub).
• Experience with deploying and maintaining production ML systems, data pipelines, and related architecture considerations.

Skills

Software Development Machine Learning Integration System Design Data Pipeline Management Deployment Troubleshooting Performance Optimization Security Collaboration