GenAI Developer profile with good 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 professional 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.