Role Overview : As a Machine Learning Engineer specializing in Generative AI and LLMs, you will be at the forefront of building next-generation intelligent systems that redefine how our business interacts with data. You will work closely with cross-functional teams of data scientists, product managers, and software engineers to design, train, and deploy sophisticated language models that solve complex real-world problems. Your day-to-day will involve architecting scalable pipelines, fine-tuning models for specific enterprise use cases, and ensuring that our AI solutions are both performant and ethically sound. By bridging the gap between cutting-edge research and production-grade applications, you will directly influence our product roadmap and deliver transformative value to our global customer base.Key Responsibilities : - Architect and implement end-to-end Generative AI solutions using LLMs to automate workflows and enhance user engagement across our digital platforms.- Develop and optimize RAG (Retrieval-Augmented Generation) pipelines to ensure our models provide accurate, context-aware, and domain-specific responses.- Build and maintain robust LLMOps infrastructure to streamline the deployment, monitoring, and versioning of models in a production setting.- Collaborate with stakeholders to translate ambiguous business requirements into technical specifications,



ensuring AI initiatives align with long-term strategic goals.- Conduct rigorous performance evaluation and fine-tuning of models using PyTorch to improve accuracy, latency, and cost-efficiency for high-scale applications.Required Skillset : - Demonstrated expertise in building production-grade machine learning systems using Python, with a deep understanding of modern deep learning frameworks like PyTorch.- Proven ability to design and deploy LLM-based applications using LangChain, ensuring seamless integration with existing enterprise software stacks.- Strong proficiency in cloud-native development on AWS, specifically leveraging services for model training, hosting, and data orchestration.- Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders, fostering a collaborative team environment.- A proactive mindset toward continuous learning, with the ability to thrive in a remote-first or distributed work setup while maintaining high standards of code quality and documentation.- A solid academic foundation in Computer Science, Mathematics, or a related quantitative field, complemented by 5 - 10 years of hands-on experience in machine learning engineering. (ref:hirist.tech)

📌 Machine Learning Engineer - Generative AI (India)
🏢 Tech Grow Global
📍 India