
Advanced Data Intelligence Developer
7 days ago
A prominent Gen AI Engineer is required to develop and implement scalable data intelligence platforms that integrate structured and unstructured data sources.
The ideal candidate will have expertise in designing and deploying Generative AI models (LLMs, GANs, Diffusion Models) for tasks such as text generation, synthetic data creation, and content automation.
Key Responsibilities:
- Design and implement scalable data intelligence platforms that integrate structured and unstructured 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 data pipelines, feature stores, and model monitoring systems.
- Apply prompt engineering techniques to optimize LLM performance for business use cases.
- Conduct experiments and A/B testing to evaluate model performance and business impact.
- Ensure compliance with data governance, privacy, and ethical AI standards.
- Expertise in AKS.
- Should be able to integrate the solution in 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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