Manager/ Senior Manager (Data Science and AI)
Tasks
- Build data analytics pipelines
- Define data and AI architecture
- Deliver AI solutions
- Deploy AI solutions to cloud
- Design agent orchestration and tool use
- Design and deploy machine learning systems
- Develop ETL and data preprocessing
- Develop RAG retrieval pipelines
- Implement generative AI and agentic AI
- Integrate LLMs into applications
- Mentor data analysts
- Provide technical guidance to stakeholders
- Research and implement AI techniques
- Validate and cleanse data
Perks/Benefits
Skills/Tech-stack
API Development | Agent Orchestration | Agent systems | Amazon Web Services | Apache Hadoop | Apache Spark | Azure | C# | C++ | CSS | Data Cleansing | Data Preprocessing | Data Validation | Deep learning | ETL | Google Cloud | JavaScript | LLM integration | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | Machine Learning | MongoDB | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Network Analytics | Node.js | OpenAI | PostgreSQL | Python | R | Recommendation Systems | Retrieval-Augmented Generation | SQL | TensorFlow | Vector Search | Vue.js | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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