AI Engineering- Senior Software Engineer III-AI-GR-39967-72845- JR198333
Entry-level Full Time
Tasks
- Apply GPU memory optimization for LLM deployment
- Build LLM inference architectures
- Collaborate with cross functional teams on data acquisition
- Create healthcare-specific AI solutions
- Debug optimize and enhance machine learning models
- Deploy ML workloads on Kubernetes
- Design and implement data pipelines
- Develop natural language processing solutions for sentiment analysis
- Develop natural language processing solutions for text classification
- Develop natural language processing solutions for topic modeling
- Document model architectures and experiments
- Implement model quantization
- Perform prompt engineering and fine-tuning
- Research and implement LLM optimization techniques
- Stay up to date with AI industry advancements
- Track experiments with MLflow or DVC
- Use semantic retrieval for RAG systems
Perks/Benefits
- Best-in-class amenities
- Competitive rewards and recognitions
- Health and medical insurance
- Holistic well-being
- Learning and development
Skills/Tech-stack
A/B | A/B Testing | AWS | Automated Model Retraining | Azure | B testing | CI/CD | CloudFormation | Concurrency | Containerization | DVC | Dimensionality Reduction | Embeddings | Experimental Design | FastAPI | Feature Engineering | Fine Tuning | GCP | GPU Memory Optimization | GPU memory | Git | GitHub Actions | Go | Helm | Hugging Face | Hugging Face Transformers | Hypothesis Testing | Infrastructure as Code | Jenkins | Knowledge Distillation | Kubernetes | LLM Inference | Langchain | MLflow | Memory Optimization | Microservices | Model Quantization | Model retraining | NumPy | Pandas | Prompt engineering | PyTorch | Python | RAG | Rust | SQL | Scikit-learn | Service Mesh | Spark | Statistical Hypothesis Testing | TF-Serving | TensorFlow | Terraform | Test-Driven | Test-Driven Development | Torchserve | VLLM | Vector Database | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Senior Software Engineer | Software Engineer
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