Technical skills requirement - Experienced Gen-AI Engineer (4-7 yrs.)
- Strong proficiency in Python for data processing and automation. Ability to write effective 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 Fast 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.

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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 Co

📌 Genai Engineer (Bengaluru)
🏢 Siemens Healthineers
📍 Bengaluru