Associate Engineer-AI/ML
INR 2165K-3000K (estimate) Mid-level Full Time
Tasks
- Build edge plus cloud AI pipelines for hybrid execution
- Build voice and visual intelligence systems
- Collaborate with embedded and cloud data engineering teams for end to end AI platforms
- Deploy models on edge devices for real time inference
- Design ML pipelines for training evaluation deployment and monitoring
- Develop AI orchestration layers for intent routing and tool routing
- Develop VLM VLA models for scene understanding and multi modal perception
- Develop optimize SLMs for conversational AI
- Ensure compliance with safety cybersecurity and automotive standards
- Implement MLOps workflows for model lifecycle management
- Implement policy engines scheduling and coordination
- Manage cross domain context across cockpit ADAS and connected services
Perks/Benefits
Skills/Tech-stack
API Integration | Amazon Web Services | Azure | C++ | CD pipelines | CI/CD | CI/CD pipelines | Cloud Computing | Cloud platform | Computer Vision | Data Pipelines | Deep learning | Edge Computing | Google Cloud | Google Cloud Platform | LLM orchestration | Langchain | Language Models | Language Processing | Language Understanding | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model Training | Multimodal AI | Natural Language | Natural Language Processing | Natural Language Understanding | PyTorch | Python | Semantic Kernel | Small Language Models | Speech Recognition | TensorFlow | Text to Speech | VLA | VLM | Web Services
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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