Data Scientist I B - GBS IND
Tasks
- Build CI/CD pipelines
- Build agent based architectures
- Build and deploy LLM-based applications
- Build hallucination detection and safety guardrails
- Build scalable inference APIs
- Conduct code reviews and mentor engineers
- Conduct performance benchmarking
- Create A/B testing infrastructure
- Design and deploy microservices
- Design and implement RAG pipelines
- Develop automated evaluation frameworks
- Develop model serving infrastructure
- Develop prompt engineering workflows
- Document technical designs and runbooks
- Drive agile delivery
- Ensure security and compliance for AI workflows
- Implement fine-tuning pipelines
- Implement logging and observability
- Implement model monitoring and drift detection
- Implement testing strategies
- Implement vector database solutions
- Integrate multimodal models
- Optimize model inference performance
- Participate in architecture discussions
- Research and prototype GenAI technologies
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | BERTScore | BLEU | Batching | Bias detection | CI/CD | Docker | Drift Detection | Embedding Models | Evaluation testing | Faiss | Fine Tuning | Git | HTML/CSS | Hallucination detection | Hardware acceleration | Haystack | Hugging Face | Hugging Face Transformers | Impala | Integration Testing | JavaScript | Kafka | Kubernetes | Langchain | Llamaindex | LoRA | Logging | MLOps | Microservices | Model Monitoring | Model Serving | MongoDB | MySQL | Observability | OpenShift | Oracle | Prompt engineering | PyTorch | Python | QLoRA | Quantization | REST API | ROUGE | React | Redis | Safety Guardrails | Semantic Search | Sentence Transformers | TensorFlow | Unit Testing | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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