Junior Data Scientist

You are a highly skilled AI/ML/Gen AI Data Scientist with expertise in Generative AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP). You have a strong foundation in Python-based AI frameworks and experience in developing, deploying, and optimizing AI models for real-world applications. Your responsibilities include developing and implementing AI/ML models, working with Deep Learning architectures like Transformers (BERT, GPT, LLaMA) and CNNs/RNNs, fine-tuning and optimizing Large Language Models (LLMs) for various applications, designing and training custom Machine Learning models using structured and unstructured data, leveraging NLP techniques such as text summarization and Named Entity Recognition (NER), implementing ML pipelines, and deploying models in cloud environments (AWS/GCP/Azure). You will collaborate with cross-functional teams to integrate AI-driven solutions into business applications and stay updated with the latest AI advancements to apply innovative techniques to improve model performance. To qualify for this role, you should have 1 to 3 years of experience in AI/ML, Deep Learning, and Generative AI, strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn, hands-on experience with NLP models including BERT, GPT, T5, LLaMA, and Stable Diffusion, expertise in data preprocessing, feature engineering, and model evaluation, experience with MLOps, cloud-based AI deployment, and containerization (Docker, Kubernetes), knowledge of vector databases and retrieval-augmented generation (RAG) techniques, ability to fine-tune LLMs and work with prompt engineering, strong problem-solving skills, and the ability to work in agile environments. You should hold a Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, or Information Technology. Preferred skills include experience with Reinforcement Learning (RLHF) and multi-modal AI, familiarity with AutoML, Responsible AI (RAI), and AI Ethics, exposure to Graph Neural Networks (GNNs) and time-series forecasting, contributions to open-source AI projects or research papers. Your skills should encompass Machine Learning (ML), Generative AI, Artificial Intelligence (AI), Python, and Large Language Models (LLM).,