GenAI Developer profile with valuable experience on Python + Pytorch / Tensorflow + LLMs fine tuning + RAG + Langchain / Hugging face / Langgraph
Required Technical Skills:
Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras). (Must Have - one of the framework)
Familiarity with LLMs, prompt engineering, and fine-tuning (e.g., LoRA, QLoRA). (Must Have)
Exposure to RAG systems and basic knowledge of hybrid search techniques. (Must Have)
Understanding of model deployment and containerization (Docker). (Good to Have)
Proficiency in Python for AI development, data preprocessing, and scripting. (Must Have - Python should be strong)
Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus. (Good to Have - at least one of this skill)
Understanding of version control systems (Git). (Must Have)
Awareness of AI compliance, data privacy, and responsible AI principles.
(Good to Have)
Required Soft Skills:
Strong teamwork and communication abilities.
Willingness to learn current AI/ML technologies and frameworks.
Analytical mindset and attention to detail.
Openness to feedback and continuous improvement.
Qualifications:
Bachelor’s degree or Master’s degree in Computer Science, Data Science, AI, or a related field.
4+ years of qualified experience in AI/ML development, with exposure to Generative AI.
Experience delivering AI/ML projects in a collaborative setting.
Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus.