Job Description
- Design, fine-tune, and evaluate Large Language Models (LLMs) such as GPT, LLaMA, Claude, and Mistral to meet specific enterprise or domain requirements.
- Develop custom model architectures, embeddings, and prompt engineering strategies to optimize performance.
- Implement advanced techniques for model compression, retrieval-augmented generation (RAG), and multi-agent orchestration.
- Build scalable pipelines for the training, evaluation, and deployment of LLM-based applications.
- Integrate LLMs with APIs, databases, and enterprise software systems.
- Collaborate closely with Data Engineers, ML Engineers, and Product teams to translate business challenges into effective AI solutions.
- Research and experiment with new methods in model grounding, alignment, and interpretability.
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
- Strong proficiency in Python, with experience using frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or LlamaIndex.
- Deep understanding of LLM architectures, tokenization, embeddings, attention mechanisms, and fine-tuning strategies.
- Hands-on experience with vector databases (e.g., Pinecone, Milvus, FAISS) and RAG pipelines.
- Proven experience with cloud-based AI platforms such as AWS SageMaker, Azure OpenAI, or GCP Vertex AI.
- Solid background in Natural Language Processing (NLP), information retrieval, and knowledge graph integration is a plus.
Why join Us?
- We offer
very attractive salary
and
outstanding benefits. - Most of our clients are multinational company which you will be exposed to a large IT environment and
valuable experience
in
international scale projects
. - You will
always learn new things
as our projects always adopt latest technology and best practice available in the market. - Last but not least, we offer a supportive and encouraging environment that puts the emphasis on teamwork. Here,
your soft skill
(professional relationships, character, attitude)
will grow
as fast as your technical skill.