General responsabilities
Design and integrate AI components (LLMs, RAG engines, vector DBs, agent orchestrators) to enrich the platform’s functionalities.
Responsibilities
- Build data pipelines (ETL, Kafka, SQL/NoSQL DBs).
- Integrate AI models (OpenAI, Hugging Face, local LLMs).
- Develop RAG systems (retrieval-augmented generation).
- Implement orchestrated AI agents (LangChain, custom orchestrators).
- Monitor model performance and efficiency.
Required profile
- 3+ years of experience in Data Engineering / ML Engineering.
- Strong knowledge in NLP, embeddings, vector databases.
- Proficiency in Python (PyTorch/TensorFlow) + microservices integration (Java/Python).
- Cloud experience (Azure/AWS/GCP).
- Interest in deploying AI solutions (beyond prototyping).
Why work at Novelis ?
- Join a cutting-edge research program focused on AI applied to process automation.
- Work with a dynamic team of AI PhDs and R&D engineers.
- Evolve in a stimulating environment that fosters applied research and innovation.
- Contribute to projects with a direct impact on industry and businesses.
