Artificial Intelligence Engineer
15 hours ago
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
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