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 at nirmalya@hirojet.com