•Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
•5–8 years of experience in AI/ML model development and deployment.
•Strong hands-on experience with Generative AI and Large Language Models (LLMs).
•Expertise in Python and AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or LlamaIndex.
•Strong understanding of NLP, deep learning, multimodal AI, and prompt engineering.
•Experience with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
•Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
•Experience with containerization and deployment tools including Docker and Kubernetes.
•Strong understanding of APIs, scalable backend systems, and AI infrastructure.
•Experience implementing MLOps practices for deployment, monitoring, and model optimization.
•Ability to work in a fast-paced and collaborative environment.
Good to Have
•Experience building AI agents and autonomous workflows.
•Familiarity with fine-tuning techniques such as LoRA, QLoRA, RLHF, or PEFT.
•Knowledge of Computer Vision, Speech AI, or multimodal systems.
•Experience with distributed training and GPU optimization.
•Exposure to AI safety, model evaluation, and governance practices.
•Prior experience leading AI projects or mentoring teams.
