Job Description

Interested candidates can share resumes at deepali.rawat@rsystems.com 4+ years of industry experience in AI/ML engineering, with a focus on Deep Learning and NLP Strong programming skills in languages such as Python. Experience with popular deep learning frameworks (e.g., PyTorch, TensorFlow), NLP libraries (e.g., NLTK, spaCy, Scikit-learn) and LLM focused libraries (e.g., LangChain, Llama Index, Open AI, Hugging Face) Strong understanding of AI/ML fundamentals, including machine learning algorithms, statistical modeling, and data structures Familiarity with vector databases (e.g., Qdrant, Pinecone, Faiss) and their applications in generative AI Knowledge of techniques for efficient AI/ML model deployment, including model pruning, quantization, and knowledge distillation Experience with generative AI models, including transformer-based architectures (e.g., BERT, T5) Experience with cloud-based AI/ML platforms (e.g., Azure AI Foundry, AWS SageMaker, or Google Cloud AI Platform) and containerization (e.g., Docker) Excellent problem-solving skills, with the ability to debug complex software and AI/ML systems Strong communication and collaboration skills, with experience working with cross-functional teams