Data Science Engineer for Generative AI Development
4 days ago
We are looking for a skilled Data Science Engineer to join our team at Avenga. As a key member of our AI/ML engineering team, you will be responsible for developing and integrating generative AI and LLM-based applications in Agile teams.
Key Responsibilities:- Design, customize, and optimize AI algorithms for text generation, summarization, chatbots, and AI agents.
- Fine-tune pre-trained LLMs using prompt engineering, transfer learning, and few-shot learning.
- Build and maintain end-to-end ML pipelines, automating workflows with MLOps best practices.
- Optimize model performance, inference speed, and resource usage on cloud (AWS, Azure) and GPU/TPU architectures.
- Deploy AI models at scale, ensuring high availability and fault tolerance.
- Implement continuous monitoring, model refinement, and bias correction.
- Apply software engineering best practices, including CI/CD, containerization, and API development.
We value candidates with 3+ years of experience in AI/ML engineering, proficiency in Python, PyTorch, TensorFlow, and Transformer architectures, as well as experience with LangChain and Retrieval-Augmented Generation (RAG) systems.
A strong MLOps knowledge and expertise in deploying AI models on AWS/Azure and using tools like Azure OpenAI, Amazon Bedrock, and SageMaker JumpStart are also essential.
Requirements:- Proficiency in Python, PyTorch, TensorFlow, and Transformer architectures
- Experience with LangChain and Retrieval-Augmented Generation (RAG) systems
- Strong MLOps knowledge (CI/CD, containerization, orchestration, Infrastructure as Code)
- AWS/Azure deployment expertise
- Knowledge of structured and unstructured data, vector databases, and data lakes
- English proficiency (C1)
- Sport subscription
- Training budget
- Private healthcare
- International projects
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