Data Scientist - Generative AI/RAG Frameworks

Data Scientist About the client : AI adoption company focused on building products and solutions that Make AI Work across a variety of business processes and professional services. Our mission is to develop and integrate AI technologies into workflows, enabling businesses to achieve quantum leaps in productivity and effectiveness while maintaining strict quality controls and compliance standards. We partner with organizations to unlock the potential of AI and drive transformation in their operations. Job Summary : We are seeking a Senior Data Scientist with 2 years of experience in AI/ML to join our team . The ideal candidate will have a strong foundation in traditional machine learning, Generative AI, and fine-tuning large language models (LLMs). You will play a key role in developing scalable AI solutions that transform business processes, working closely with cross-functional teams to create AI-driven systems that deliver significant operational improvements. Knowledge of Retrieval-Augmented Generation (RAG) and experience with databases are crucial for this position. Key Responsibilities : - Design, develop, and deploy production-grade AI applications that integrate into business workflows, leveraging Generative AI models (e.g., GPT) and RAG frameworks. - Lead the end-to-end machine learning lifecycle : from data collection and preprocessing to model development, fine-tuning, deployment, and monitoring. - Collaborate with product and engineering teams to integrate AI/ML solutions into workstreams, enabling automation and boosting productivity in professional services. - Apply expertise in traditional machine learning techniques (e.g., regression, classification, clustering) to enhance existing solutions and develop new ones. - Fine-tune large language models (LLMs) and implement RAG techniques to provide real-time, data-driven insights and decision support. - Work with databases to support data-driven AI models, ensuring efficient storage, access, and preprocessing of large datasets. - Continuously optimize model performance to ensure scalability, reliability, and efficiency in a cloud-based environment. - Monitor and maintain production models, using feedback loops and A/B testing to improve performance. - Stay up-to-date with the latest AI/ML advancements and incorporate them into AI solutions. - Mentor and provide guidance to junior data scientists, contributing to a collaborative and innovative culture. Qualifications : - 2 years of experience in AI/ML, with a focus on traditional machine learning and deploying AI/ML models in production environments. - Proven experience in developing Generative AI-based applications with actual users. - Strong foundation in machine learning techniques, including deep learning and traditional ML methods. - Experience fine-tuning large language models (LLMs) and applying Retrieval-Augmented Generation (RAG) for business applications. - Proficient with databases (SQL, NoSQL) and handling large datasets in production environments. - Expertise in AI/ML frameworks like TensorFlow, PyTorch, Hugging Face, and programming languages like Python. - Knowledge of MLOps practices for deploying, monitoring, and maintaining machine learning models at scale. - Familiarity with cloud platforms (AWS, GCP, Azure), and tools like Docker and Kubernetes. - Strong interpersonal and communication skills, with the ability to work closely with both technical and non-technical teams. Preferred Skills : - Experience with transformer-based architectures and large-scale language models (LLMs). - Prior experience in mentoring junior team members or managing a team of data scientists. - Experience in AI adoption for business processes and professional services. Why Join : - Be part of an innovative company that is driving AI adoption across industries, helping businesses Make AI Work and unlock new possibilities. - Work on impactful projects that transform workflows and boost productivity across a variety of industries. - Competitive salary, comprehensive benefits, and opportunities for personal and professional growth. (ref:hirist.tech)

Location: in, IN

Posted Date: 11/24/2024