AI Engineering-Senior Software Engineer III-AI-GR-39967-72845-JR187510
INR 2500K-3500K (estimate) Senior-level Full Time
Tasks
- Acquire process and manage data for AI ML model integration
- Collaborate on natural language processing solutions
- Debug optimize and enhance machine learning models
- Deploy ML workloads on Kubernetes
- Design and build LLM inference architectures
- Design and implement data pipelines
- Develop text classification sentiment analysis and topic modeling
- Document model architectures and experiments
- Implement semantic retrieval and chatbot development
- Implement service mesh for ML deployments
- Optimize GPU memory usage for LLMs
- Perform prompt engineering and fine-tuning
- Quantize models for efficient deployment
- Research and implement LLM optimization techniques
- Track experiments with MLflow or DVC
Perks/Benefits
- Best in class amenities and workspaces
- Comprehensive rewards and recognition
- Health and medical insurance
- Learning and development
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | CI/CD | CloudFormation | Concurrency | Containerization | DVC | Dimensionality Reduction | Embedding | FastAPI | Feature Engineering | Fine Tuning | GCP | Git | GitHub Actions | Go | Helm | Hugging Face | Hugging Face Transformers | Hypothesis Testing | Jenkins | Knowledge Distillation | Kubernetes | LLM serving | Langchain | Language Model | Large Language Model | MLOps | MLflow | Machine Learning | Microservices | Model Monitoring | Model Quantization | NumPy | Pandas | Prompt engineering | PyTorch | Python | Quantization | RAG | Rust | SQL | Scikit-learn | Semantic Search | Service Mesh | Spark | Statistical Hypothesis Testing | TensorFlow | TensorFlow Serving | Terraform | Test-Driven | Test-Driven Development | Torchserve | VLLM | Vector Database
Education
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