We are looking for an experienced AI/ML Engineer with over 4 years in the field of AI/ML to become a part of our team. The perfect candidate should possess a solid background in traditional machine learning, Generative AI, and have experience fine-tuning large language models (LLMs). This role involves a significant contribution to designing scalable AI solutions that enhance business operations. You will collaborate with cross-functional teams to develop AI-driven systems that offer substantial operational benefits. A strong understanding of Retrieval-Augmented Generation (RAG) and proficiency with databases are essential for this role. + Design, develop, and deploy AI applications suitable for production that seamlessly integrate into business workflows, utilizing Generative AI models like GPT and Retrieval-Augmented Generation (RAG) frameworks. + Lead the complete machine learning lifecycle, encompassing data collection, preprocessing, model development, fine-tuning, deployment, and ongoing monitoring. + Collaborate with product and engineering teams to embed AI/ML solutions into workflows, driving automation and enhancing productivity in professional services. + Apply traditional machine learning techniques, such as regression, classification, and clustering, to improve existing solutions and create new ones. + Fine-tune large language models (LLMs) and implement RAG strategies to deliver real-time, data-driven insights and support decision-making processes. + Work with databases to underpin data-driven AI models, ensuring efficient data storage, access, and preprocessing of large datasets. + Continuously optimize model performance to maintain scalability, reliability, and efficiency in a cloud-based environment. + Monitor and sustain production models, employing feedback loops and A/B testing to enhance performance. + Stay current with the latest advancements in AI/ML and integrate them into AI solutions. + Mentor and guide junior data scientists, fostering a collaborative and innovative culture. + **Experience:** 4 to 10 years in AI/ML, with a strong emphasis on traditional machine learning and deploying AI/ML models in production environments. + **Generative AI:** Demonstrated experience in developing applications based on Generative AI for real-world users. + **Machine Learning:** Solid foundation in machine learning techniques, including both deep learning and traditional ML methods. + **Language Models:** Experience in fine-tuning large language models (LLMs) and applying Retrieval-Augmented Generation (RAG) for business purposes. + **Data Management:** Proficiency with databases, including SQL and NoSQL, and managing large datasets in production settings. + **Technical Expertise:** Expertise in AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, and programming languages like Python. + **MLOps:** Knowledge of MLOps practices for deploying, monitoring, and maintaining machine learning models at scale. + **Cloud and DevOps:** Familiarity with cloud platforms such as AWS, GCP, or Azure, and tools like Docker and Kubernetes. + **Communication:** Strong interpersonal and communication skills, capable of working effectively with both technical and non-technical teams. **Requisition ID** : 39689