Data Science Analyst - Agentic AI Developer
Tasks
- Automate AI workflows
- Build LLM-based applications
- Collect clean integrate preprocess datasets
- Communicate insights to technical and non-technical audiences
- Create dashboards and reports
- Create data pipelines
- Design develop deploy optimize machine learning models
- Develop AI agents
- Develop APIs
- Implement retrieval-augmented generation
- Monitor evaluate improve model performance
- Prototype test deploy scalable AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AWS | Amazon Bedrock | Azure | Azure OpenAI | Computer Vision | CrewAI | Databricks | Docker | Feature Engineering | Generative AI | Git | Google Cloud | Google Vertex | Google Vertex AI | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Matplotlib | Model Evaluation | Natural Language | Natural Language Processing | Plotly | Power BI | Prompt engineering | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Kernel | Series forecasting | Spark | Statistics | Tableau | TensorFlow | Time Series | Time Series Forecasting | Vector Databases | Vertex AI | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Analyst | Data Analyst | Data Science | Data Science Analyst | Engineer | Learning Engineer | Machine Learning Engineer
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