Software Engineer/ Senior Software Engineer

Role Overview: You will be joining GlobalLogic as a Generative AI Engineer, where you will play a crucial role in designing, building, and deploying cutting-edge generative models and applications. Your responsibilities will include working on large language model (LLM) training, fine-tuning, and developing sophisticated NLP solutions. If you are passionate about artificial intelligence and pushing its boundaries, this role is for you. Key Responsibilities: - Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques. - Train, fine-tune, and evaluate Large Language Models (LLMs) for specific use cases, ensuring optimal performance and accuracy. - Develop and integrate Retrieval-Augmented Generation (RAG) systems to enhance model responses with external knowledge bases. - Apply expertise in Deep Learning and Neural Networks to build robust and scalable AI systems. - Utilize Natural Language Processing (NLP) techniques for tasks such as text classification, sentiment analysis, and named entity recognition. - Manage the full lifecycle of AI models, including embedding preparation, data preprocessing, model deployment, and monitoring. - Write clean, efficient, and well-documented code, primarily in Python. - Collaborate with cross-functional teams to deliver high-impact AI features. - Stay current with the latest advancements in the field. Qualifications Required: - 2+ years of hands-on experience in building and deploying Gen AI and Deep Learning models. - Strong proficiency in Python and its core data science libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain). - In-depth knowledge of LLM architecture, LLM training methodologies, and fine-tuning techniques (e.g., LoRA, QLoRA). - Solid understanding of Neural Network fundamentals. - Experience with NLP, including text processing and embedding preparation (e.g., Word2Vec, GloVe, sentence transformers). - Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure). - Contributions to open-source AI/ML projects or a portfolio of relevant work. - Published research in the field of AI, NLP, or Machine Learning. - Practical experience implementing RAG pipelines and vector databases (e.g., Pinecone, ChromaDB). - Familiarity with APIs from major AI providers like OpenAI. - Strong problem-solving skills and the ability to work independently and in a team environment. - Must possess any graduation degree (Must have Provisional Certificate & Consolidated Marks Memo). - Must be willing to work from office & in rotational shifts (5 Working Days & 2 Week Offs). - Must be ready to join immediately.,