Senior Artificial Intelligence/Machine Learning Engineer - Large Language Models in Noida, भारत

Role Overview :We are seeking a seasoned Senior Artificial Intelligence/Machine Learning Engineer to join our innovation hub in Noida. In this high-impact role, you will architect and deploy sophisticated AI solutions that bridge the gap between complex data science research and scalable production environments. You will collaborate closely with cross-functional product teams, data scientists, and senior stakeholders to translate ambiguous business challenges into robust, AI-driven products. Your work will directly influence our core product roadmap, enabling us to deliver hyper-personalized experiences and intelligent automation that drive significant business growth and operational efficiency for our global client https://jobeax.com/link/XUOpfYgsmS7GxCpk Responsibilities :- Design and implement end-to-end machine learning pipelines on AWS to ensure high availability and performance of AI models in production environments.- Lead the development of advanced NLP and Generative AI applications, including fine-tuning and deploying Large Language Models (LLMs) to solve complex enterprise-level problems.- Mentor junior engineering talent and conduct rigorous code reviews to maintain high standards of technical excellence across the AI/ML department.- Collaborate with product managers to define technical requirements and translate business objectives into actionable AI strategies that improve user engagement and system accuracy.- Optimize deep learning architectures to reduce latency and infrastructure costs, ensuring that our AI solutions remain both scalable and https://jobeax.com/link/AZ2IPGsml6gYdC3c Skillset :- Demonstrated expertise in building and deploying production-grade machine learning models, with a deep understanding of Deep Learning frameworks and NLP techniques.- Proven ability to architect scalable AI infrastructure on AWS, utilizing cloud-native tools to manage data pipelines and model deployment lifecycles.- Strong proficiency in implementing and fine-tuning Generative AI and LLM-based solutions to address specific business use cases.- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders and influence cross-functional decision-making.- A collaborative mindset with the ability to thrive in a hybrid work environment, balancing independent research with team-based development cycles.- A Master's or Bachelor's degree in Computer Science, Mathematics, or a related quantitative field from a premier institute, supported by 8 to 10 years of hands-on experience in the AI/ML domain. (ref:hirist.tech)