# AI ML Engineer (Freshers)

**Location:** Mandaveli, Chennai  
**Experience:** 0-1 Years  
**Salary:** 5-7 Lacs P.A.  
**Vacancies:** 15  
**Batch:** 2025, 2026  
**Employment Type:** Full Time

## About the Role
Design and develop compiler frameworks that optimize AI model execution. Build end-to-end AI pipelines including graph optimizations, memory scheduling, and compute distribution. Work on transformer-based architectures for distributed multi-node training and efficient inference.

## Education
Bachelor's or Master's in Computer Science, AI, Data Science, ML, Mathematics, or Statistics

## Key Responsibilities
- Design and develop compiler frameworks that optimize AI model execution at the kernel, graph, and operator levels
- Architect scalable transformer-based infrastructures for distributed multi-node training and efficient inference
- Build end-to-end AI pipelines including graph optimizations, memory scheduling, and compute distribution
- Collaborate with research teams to translate mathematical models into optimized execution graphs and intermediate representations (IRs)
- Implement custom kernels, quantization strategies, and low-level performance optimizations in C/C++ and CUDA
- Analyze and tune runtime performance bottlenecks focusing on parallelization, vectorization, and memory management
- Develop domain-specific compiler passes for tensor operations, automatic differentiation, and operator fusion
- Conduct systematic experiments to explore scaling laws, precision formats, and architectural optimizations

## Requirements
- Strong proficiency in C, C++ or Java, with good command over pointers, memory management, performance optimization, and systems-level programming
- Solid foundation in Mathematics - calculus, probability, statistics, and linear algebra
- Strong logical reasoning, problem-solving ability, and an analytical mindset
- Ability to operate effectively in a research-driven, high-intensity environment with cross-functional collaboration

## Added Advantage
- Experience or strong interest in compiler construction, runtime systems, and code generation
- Proficiency or willingness to learn CUDA and Rust for high-performance and systems-level development
- Deep understanding of computer architecture, operating systems, data structures, and memory management

## Why Join BluBridge?
- A dynamic and innovative work environment with an AI research-driven team
- Mentorship, learning, and growth opportunities in AI infrastructure and systems research
- Competitive compensation with performance-based advancement and technical ownership
- Opportunity to work on compiler-level AI framework design and large-scale foundation model optimization
- Access to multi-node GPU clusters and next-gen compute environments for experimentation

### Ready to Join Our Team?
Apply now and be part of BluBridge's mission to build the future of AI.