Advanced Engineer-AI/ML
INR 2500K-4680K (estimate) Senior-level Full Time
Tasks
- Build AI orchestration layers
- Build MLOps workflows for training evaluation deployment monitoring
- Collaborate with embedded and cloud data teams
- Create intent routing and tool routing
- Deploy models on edge devices
- Design policy engines scheduling and coordination
- Design sensor fusion pipelines
- Develop AI ML model architectures
- Develop multimodal VLM VLA models
- Ensure safety cybersecurity and automotive compliance
- Fine-tune small language models
- Implement cross domain context management
- Implement edge cloud inference pipelines
- Integrate end to end automotive AI platforms
- Integrate voice and visual perception systems
- Set up CI CD pipelines for model lifecycle
Perks/Benefits
Skills/Tech-stack
AI orchestration | API Integration | ASR | AWS | Action models | Azure | C++ | C++ APIs | CI/CD | CPU | Cloud Computing | Computer Vision | Deep learning | Edge Computing | GCP | GPU | Intent Routing | Langchain | Language Models | Language Processing | Large Language Models | Lifecycle Management | MLOps | Model Deployment | Model Evaluation | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Model Training | Multimodal AI | NLU | NNAPI | NPU | Natural Language | Natural Language Processing | Policy engines | PyTorch | Python | Scheduling | Semantic Kernel | Small Language Models | TTS | TensorFlow | Tool Using | Tool Using LLMs | Vision Language Models | Vision Language and Action Models | Vision-language
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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