Technical skills requirement - Experienced Gen-AI Engineer (4-7 yrs.) - Strong proficiency in Python for data processing and automation. Ability to write efficient and well-structured code. - Experienced with generative AI models and their integration into data workflows. - Experienced with prompt engineering and LLM models (Opensource and licensed. Ex Llama, OpenAI) - Experienced with Application development framework like LangChain or similar frameworks. - Experienced working with REST frameworks like Rapid API, Flask and Django. - Good understanding of machine learning workflows and deployment. - Knowledge of ETL processes, data modeling, and data warehousing principles. - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Familiarity with Snowflake for data warehousing and analytics. - Experienced with cloud platforms (AWS, GCP, Azure) and related services is a plus. - Strong communication and collaboration skills. - Excellent problem-solving skills and attention to detail. Restricted © Siemens Healthineers, 2024 Key Responsibilities: 1. Data Pipeline Development: o Design and implement scalable data pipelines using Python to ingest, process, and transform log data from various sources. 2. Generative AI Integration:



o Collaborate with data scientists to integrate generative AI models into the log analysis workflow. o Develop APIs and services to deploy AI models for real-time log analysis and insights generation. 3. Data Monitoring and Maintenance: o Set up monitoring and alerting systems to ensure the reliability and performance of data pipelines. o Troubleshoot and resolve issues related to data ingestion, processing, and storage. 4. Collaboration and Documentation: o Work closely with cross-functional teams to understand requirements and deliver solutions that meet business needs. o Document data pipeline architecture, processes, and best practices for future reference and knowledge sharing. Evaluation and Testing: o Conduct thorough testing and validation of generative models Snowflake Utilization: o Design and optimize data storage and retrieval strategies using Snowflake. o Implement data modeling, partitioning, and indexing strategies to enhance query performance. Research and Innovation: o Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities. o Experiment with different architectures and approaches like Agentic AI

📌 Genai Engineer (Bengaluru)
🏢 Siemens Healthineers
📍 Bengaluru