Senior Data Analyst

4 days ago

Hà Nội, Vietnam Techcombank Full time

28 Nov 2024**Senior Data Analyst (40000032)**:

- Category: Data And Analytics Division- Job Type:
- Facility: Data & Analytics**Job Purpose**:
In this role, you will work at the forefront of artificial intelligence, focusing on building and enhancing solutions using Generative AI techniques. Your primary responsibilities will include developing Retrieval-Augmented Generation (RAG) systems, extracting insights from large datasets, and integrating AI capabilities into enterprise workflows. You will collaborate with cross-functional teams to deliver scalable AI solutions that transform business processes and generate actionable insights.

**Key Accountabilities (1)**:
**AI Development**
- Design and implement Retrieval-Augmented Generation (RAG) systems to improve document search, summarization, and knowledge retrieval.
- Fine-tune and deploy large language models (LLMs) for specific use cases, ensuring high performance and accuracy.
- Develop APIs for seamless integration of generative AI solutions into existing platforms.

**Key Accountabilities (2)**:
**Data Insights & Analytics**
- Analyze large, complex datasets to uncover patterns and actionable insights using AI-powered tools.
- Build predictive models and algorithms to support data-driven decision-making.
- Collaborate with stakeholders to translate business challenges into AI solutions.

**Key Accountabilities (3)**:
**Solution Deployment**
- Collaborate with engineering teams to ensure robust deployment of AI models in production environments.
- Optimize AI systems for scalability, performance, and cost-efficiency.
- Monitor and maintain AI models, addressing issues related to accuracy, drift, and user feedback.

**Key Accountabilities (4)**:
**Collaboration & Innovation**
- Work closely with data scientists, software engineers, and domain experts to design and implement cutting-edge AI solutions.
- Stay updated on the latest advancements in generative AI and LLM technologies, recommending innovative approaches.
- Contribute to knowledge-sharing sessions and team growth in AI best practices.

**Key Relationships - Direct Reports**:
**Key Relationships - Internal Stakeholders**:
Teams within the Transformation Office and relevant departments in the Bank

**Key Relationships - External Stakeholders**:
Partners providing professional services

**Success Profile - Qualification and Experiences**:

- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. PhD preferred.
- Proven experience with large language models (e.g., GPT, LLaMA) and related frameworks (e.g., Hugging Face, LangChain).
- Strong proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow).
- Hands-on experience with Retrieval-Augmented Generation (RAG) techniques.
- Expertise in natural language processing (NLP), deep learning, and data analytics.
- Familiarity with cloud platforms (e.g., AWS, Databricks) and containerization tools (e.g., Docker, Kubernetes).
- Excellent problem-solving and communication skills, with the ability to work collaboratively in a team environment.

**Preferred Skills**
- Experience with vector databases for knowledge retrieval.
- Knowledge of MLOps tools and best practices.
- Background in business intelligence or working with financial, banking, or enterprise datasets.
- Familiarity with building and deploying chatbot solutions and integrating them with APIs.

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