Artificial Intelligence Engineer

3 days ago


Gurugram Gurugram India HiroJet Full time

Job Description Role - Artificial Intelligence Engineer Location - Gurugram Haryana (WFO) About Company- This is 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. Bonus Points: Contributions to open-source AI/ML/NLP projects. Experience with vector databases, retrieval-augmented generation (RAG), or multimodal models. Familiarity with MLOps tools (e.g., MLflow, Kubeflow) and distributed training techniques. If interested please share your resume at [Confidential Information]



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