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5 days ago
Job Title:
Data Architect - Generative AI Expert
About the RoleWe're seeking skilled Data Science professionals with strong expertise in Generative AI to join our high-impact AI/ML team.
This role requires designing, developing, and deploying cutting-edge GenAI solutions leveraging Large Language Models (LLMs), MLOps practices, and modern cloud platforms.
Main Responsibilities- Design and develop scalable Generative AI and LLM-based applications.
- Architect end-to-end ML workflows covering data ingestion, model training, evaluation, and production deployment.
- Implement robust MLOps practices including model versioning, monitoring, and performance optimization.
- Collaborate with data scientists, ML engineers, and product stakeholders to identify high-impact GenAI use cases.
- Integrate vector databases and optimize inference for cost-effective scaling.
- Generative AI and Large Language Models - hands-on experience with transformers, fine-tuning (LoRA/PEFT), and prompt engineering.
- Python - proficiency with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch/TensorFlow, OpenAI API).
- MLOps - experience with CI/CD for ML, containerization (Docker/Kubernetes), and cloud-native deployment (AWS / GCP / Azure).
- Exposure to multimodal models and knowledge of AI governance, security, and compliance frameworks.
- Familiarity with advanced GenAI architectures and performance optimization techniques.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related technical field.
- 12-15 years in AI/ML and software engineering, with 3+ years focused on Generative AI and LLM-based architectures.
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