Experience:

• Experienced Professional

Responsibilities:

• Design and implement scalable data pipelines using Python
• Integrate generative AI models into log analysis workflow
• Develop APIs and services for real-time AI model deployment
• Set up monitoring and alerting systems for data pipelines
• Troubleshoot data ingestion, processing, and storage issues
• Collaborate with cross-functional teams to meet business needs
• Document data pipeline architecture and best practices
• Conduct testing and validation of generative models
• Design and optimize data storage and retrieval using Snowflake
• Implement data modeling, partitioning, and indexing strategies

Additional responsibilities:

• Stay updated with latest advancements in generative AI
• Explore innovative techniques to enhance model capabilities
• Experiment with different architectures and approaches like Agentic AI

Nice to have:

• Experience with cloud platforms (AWS, GCP, Azure)

More skills:

generative AI models, prompt engineering, LLM models, LangChain or similar frameworks, REST frameworks, machine learning workflows, deployment, data modeling, containerization, cloud platforms, GCP, Azure

Other:

• Strong communication and collaboration skills
• Excellent problem-solving skills and attention to detail
• Work mode: Office/Site only
• Employment type: Permanent
• Field of work: Research & Development
• Job type: Full-time