Artificial Intelligence Engineer

Job Description

Role: AI/ML Engineer Location : Gurugram (WFO) About Company: We are an innovative AI-driven company with a focus on revolutionizing Real Estate with AI. As we expand our operations and scale new heights, we are looking for a detail-oriented and strategic Finance Manager to join our dynamic team and manage the financial health of the organization. Role Overview: We are seeking a highly skilled AI R&D Engineer with expertise in large language models, startup dynamics, and building production-grade AI products. You will play a pivotal role in designing, implementing, and optimizing LLM-driven systems that power our next-generation conversational AI solutions. Key Responsibilities: ? Design, train, fine-tune, and evaluate large language models for diverse conversational AI use cases. ? Stay updated on the latest advancements in LLMs, NLP, and generative AI. ? Propose and implement innovative methods, tools, and frameworks to enhance model performance, efficiency, and reliability. ? Collaborate with product managers, software engineers, and UX designers to seamlessly integrate AI models into user-facing applications. ? Develop APIs, tools, and infrastructure for deploying models in production environments. ? Establish robust evaluation metrics, benchmarks, and automated testing frameworks for conversational systems. ? Continuously monitor model performance and iterate based on user feedback and data-driven insights. ? Guide and mentor junior engineers in applied AI research, engineering best practices, and MLOps. ? Foster a culture of experimentation, excellence, and continuous learning. Qualifications & Experience: Core Requirements: ? At least 2 years of experience in AI/ML R&D, with a proven track record in working with state-of-the-art NLP and LLM technologies (e.g., GPT, LLaMA, Falcon, PaLM). ? Prior experience in fast-paced, high-growth environments with iterative development and evolving priorities. ? Strong programming skills in Python. ? Proficiency with ML frameworks like PyTorch or TensorFlow. ? Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker), and CI/CD pipelines. ? Expertise in fine-tuning LLMs, prompt engineering, and building scalable data pipelines. ? Ability to effectively communicate complex ideas to technical and non-technical stakeholders while thriving in cross-functional teams. If Interested please share your CV [email protected]