Job Title

We are seeking a passionate and highly skilled AI Engineer with a strong background in Generative AI and Large Language Models (LLMs). The ideal candidate will have 3-6 years of hands-on experience in developing, fine-tuning, and deploying state-of-the-art models like GPT, BERT, T5, and similar architectures. You will be responsible for building advanced AI solutions that power our next-generation products and services.Key Responsibilities:Model Development & Research: Develop and optimize generative models, especially LLMs (e.g., GPT, BERT, T5) for various NLP tasks such as text generation, summarization, sentiment analysis, and question answering.Data Handling & Preprocessing: Work with large-scale datasets to train and fine-tune models, ensuring high-quality data preprocessing and augmentation to improve model accuracy and performance.Algorithm Optimization: Collaborate with cross-functional teams to design and implement algorithms that scale and are optimized for production environments.Deployment & Scaling: Lead efforts in deploying machine learning models to production and optimizing for performance, efficiency, and scalability on cloud infrastructure (AWS, GCP, Azure).Cross-team Collaboration: Work closely with product, engineering, and data science teams to align AI solutions with business goals and requirements.Research & Innovation: Stay up to date with the latest advancements in AI, machine learning, and NLP. Contribute to research papers or patents where applicable.Mentoring & Knowledge Sharing: Mentor junior engineers and data scientists, sharing your expertise in machine learning, AI tools, and techniques.Qualifications:Education: Bachelor's or Master’s degree from a premier institution in Computer Science,Engineering, Mathematics, or a related field.Experience:3-6 years of professional experience working in Generative AI, Natural Language Processing (NLP), and deep learning.Hands-on experience with training, fine-tuning, and deploying Large Language Models (LLMs) such as GPT, BERT, T5, etc.Strong understanding of transformer architectures, attention mechanisms, and neural networks.Experience with state-of-the-art NLP techniques (text generation, embeddings, sentiment analysis, etc.).• Technical Skills:Proficiency in Python and popular machine learning libraries (TensorFlow, PyTorch, Hugging Face, etc.).Deep understanding of data structures, algorithms, and machine learning methodologies.Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment and scaling.Experience in optimizing models for production environments (efficiency, latency, etc.).