Senior Data Scientist (Agentic AI Platform)
Tasks
- Build LLM evaluation frameworks
- Build multi-agent systems
- Collaborate on data quality and governance
- Design and evaluate classical machine learning models
- Develop RAG pipelines
- Fine-tune and optimize LLMs
- Implement agent guardrails and governance
- Integrate agents with enterprise APIs
- Mentor junior data scientists and lead code reviews
- Own LLMOps and MLOps pipelines
- Translate business problems into agentic AI solutions
Perks/Benefits
- Discounts and events
- Flexible benefits budget
- Flexible working hours
- Health month
- Home office days
- Housing allowance
- Language courses allowance
- Meal vouchers
- Medical and wellness services
- Multisport card
- On-site massages
- Private kindergarten or nursery allowance
- Professional development support
- Psychologist services
- Relocation support
- Relocation support housing allowance
- Retail and lifestyle discounts
- Wellbeing support
- Yoga
Skills/Tech-stack
AI Search | AKS | Apache Spark | Azure AI | Azure AI Search | Azure Container | Azure Container Apps | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure ML | Azure Monitor | Azure OpenAI | Azure Synapse | Azure Synapse Analytics | CI/CD | Container Apps | Data Drift | Data Factory | Data drift monitoring | Deep learning | Docker | Drift monitoring | Embeddings | Faiss | FastAPI | GitHub Actions | Kubernetes | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | LoRA | MLflow | Machine Learning | Model Context Protocol | NumPy | OpenTelemetry | PEFT | Pandas | Prompt engineering | PySpark | PyTorch | Python | QLoRA | Retrieval-Augmented Generation | SQL | Scikit-learn | Synapse Analytics | TensorFlow | VLLM | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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