AI engineering, Data Science - Sr Software Engineer III - AI -GR-TE-39967 - 72845
INR 2500K-4144K (estimate) Senior-level Full Time
Tasks
- Acquire process manage data for AI ML model integration
- Debug optimize and enhance machine learning models
- Deploy ML workloads on Kubernetes
- Design build data pipelines for AI ML models
- Develop natural language processing solutions for text classification sentiment analysis topic modeling
- Document model experiments using version control and tracking
- Implement LLM inference architectures
- Implement retrieval augmented generation systems
- Integrate new AI methodologies and frameworks for continual improvement
- Optimize LLMs with GPU memory techniques
- Perform prompt engineering and LLM fine tuning
- Research implement LLM optimization techniques
Perks/Benefits
- Amenities
- Best in class workspaces
- Health and medical insurance
- Learning and development
- Rewards and recognition
- Well-being programs
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | CloudFormation | Concurrency | DVC | Deep learning | Dimensionality Reduction | Docker | Embedding Optimization | FastAPI | Feature Engineering | Fine Tuning | GPU Memory Optimization | GPU memory | Git | GitHub Actions | Helm | Hugging Face | Hugging Face Transformers | Hypothesis Testing | JavaScript | Jenkins | Knowledge Distillation | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Memory Optimization | Microservices | Model Monitoring | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | PyTorch | Python | Quantization | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Search | Service Mesh | Spark | Statistical Hypothesis Testing | TensorFlow | TensorFlow Serving | Terraform | Test-Driven | Test-Driven Development | Torchserve | VLLM | Vector Databases | Vector Search
Education
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