DE&A - AIML - Deep Learning - Generative AI
INR 2500K-4062K (estimate) Mid-level Full Time
Tasks
- Accelerate GPU based computing
- Automate infrastructure and workflow deployments
- Build containerized AI workflows
- Build production AI delivery systems
- Design knowledge graph and graph architectures
- Develop generative AI and LLM solutions
- Evaluate models and optimize hyperparameters
- Implement agentic AI and ML frameworks
- Implement data streaming and in memory storage pipelines
- Implement distributed training
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | API | AWS | Azure | Big Data | C++ | CUDA | CuGraph | Deep learning | Distributed Training | Docker | Elasticsearch | GPU Computing | GitHub Actions | Google Cloud | Graph Databases | Graph theory | Hugging Face | Hyperparameter Optimization | Java | Kafka | Knowledge graphs | Kubernetes | LLM | Langchain | Langgraph | MOE | Machine Learning | Microservices | Model Evaluation | Neo4j | OpenCV | PySpark | PyTorch | Python | RAG | Rapids | Redis | Scala | Spark | Streaming Data | TensorFlow | Terraform | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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