
Data Intelligence Architect
4 days ago
As a critical member of our organization, you will be responsible for designing and implementing scalable data intelligence platforms that integrate structured and unstructured data sources.
Main Responsibilities:
- Create intelligent data pipelines using various data sources.
- Develop and fine-tune Generative AI models (LLMs, GANs, Diffusion Models) for tasks such as text generation, synthetic data creation, and content automation.
- Collaborate with data engineers, ML engineers, and product teams to deploy AI solutions into production environments.
- BUILD and maintain robust data pipelines, feature stores, and model monitoring systems.
- Apply prompt engineering techniques to optimize LLM performance for business use cases.
- Evaluate model performance and business impact through experimentation and A/B testing.
- Ensure compliance with data governance, privacy, and ethical AI standards.
- Expertise in AKS is required.
- You should be able to integrate the solution in the current landscape.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
- 3-5 years of experience in data science, machine learning, or AI engineering.
- Hands-on experience with LLMs (e.g., GPT, Claude, LLaMA) and frameworks like Hugging Face, LangChain, or OpenAI APIs.
- Proficiency in Python, SQL, and cloud platforms (AWS, Azure, or GCP).
- Strong understanding of data modeling, ETL processes, and MLOps.
- Experience with vector databases, embedding models, and retrieval-augmented generation (RAG) is a plus.
Preferred Skills:
- Experience with knowledge graphs, semantic search, or data fabric architectures.
- Familiarity with AutoML, RLHF, or multi-modal AI.
- Excellent communication and stakeholder management skills.
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