Q
Artificial Intelligence Researcher
Accepting applicationsQuesthiring · Gurugram, Haryana, India
Full-Time Mid_senior AIDeep LearningMachine LearningMentorPython
Posted
29 May
Category
Test
Experience
Mid_senior
Country
India
AI Researcher
📍 Location: Gurgaon, Haryana
📅 Experience: 7–10 Years
📄 Employment Type: Full-Time | On-site
About the Role
We are looking for a highly skilled and research-driven AI Researcher to join a growing Artificial Intelligence and Data Science team. The role involves driving advanced research initiatives in Generative AI, Machine Learning, NLP, and modern AI architectures while building scalable solutions for real-world business problems.
This opportunity is ideal for professionals passionate about solving complex challenges using cutting-edge AI technologies and translating research into production-grade systems with measurable business impact.
Key Responsibilities
Conduct advanced research in Artificial Intelligence, Machine Learning, Deep Learning, NLP, and Generative AI.
Design, develop, evaluate, and optimize AI/ML models for large-scale enterprise applications.
Work on state-of-the-art technologies including LLMs, Transformers, Explainable AI, Agentic AI systems, Reinforcement Learning, and Graph Neural Networks.
Build scalable AI solutions for intelligent automation, predictive analytics, anomaly detection, personalization, and decision intelligence.
Publish research findings in reputed conferences, journals, or technical forums.
Collaborate closely with engineering, product, and business teams to convert research prototypes into production-ready applications.
Stay updated with the latest advancements in AI research and evaluate emerging technologies for practical implementation.
Mentor junior data scientists and researchers while fostering a strong innovation-led culture.
Contribute to AI strategy, research roadmaps, whitepapers, and thought leadership initiatives.
Ensure responsible AI practices, fairness, explainability, and regulatory compliance across AI systems.
Required Qualifications & Skills
Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related field.
7–10 years of experience in AI Research, Machine Learning, or Applied AI Engineering.
Minimum 2–3 research publications in recognised AI/ML conferences or journals such as NeurIPS, ICML, ICLR, AAAI, ACL, EMNLP, or equivalent.
Strong expertise in:
Large Language Models (LLMs)
Transformers & Generative AI
Explainable AI (XAI)
Deep Learning & NLP
Agentic AI frameworks
Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face, and modern AI ecosystems.
Experience working with large-scale datasets, cloud platforms, distributed computing, and production ML pipelines.
Strong understanding of MLOps, model deployment, CI/CD pipelines, and scalable AI infrastructure.
Ability to take AI models from research stage to enterprise-grade deployment.
Excellent problem-solving, analytical, and communication skills.
Preferred Qualifications
Experience in BFSI, fintech, risk analytics, or customer intelligence domains.
Exposure to AI-driven decision systems, fraud analytics, recommendation engines, or intelligent automation platforms.
Contributions to open-source AI projects or active participation in the AI research community.
Familiarity with AWS, GCP, Azure, Spark, vector databases, and RAG-based architectures.
Understanding of Responsible AI and AI governance frameworks.
Show more Show less
📍 Location: Gurgaon, Haryana
📅 Experience: 7–10 Years
📄 Employment Type: Full-Time | On-site
About the Role
We are looking for a highly skilled and research-driven AI Researcher to join a growing Artificial Intelligence and Data Science team. The role involves driving advanced research initiatives in Generative AI, Machine Learning, NLP, and modern AI architectures while building scalable solutions for real-world business problems.
This opportunity is ideal for professionals passionate about solving complex challenges using cutting-edge AI technologies and translating research into production-grade systems with measurable business impact.
Key Responsibilities
Conduct advanced research in Artificial Intelligence, Machine Learning, Deep Learning, NLP, and Generative AI.
Design, develop, evaluate, and optimize AI/ML models for large-scale enterprise applications.
Work on state-of-the-art technologies including LLMs, Transformers, Explainable AI, Agentic AI systems, Reinforcement Learning, and Graph Neural Networks.
Build scalable AI solutions for intelligent automation, predictive analytics, anomaly detection, personalization, and decision intelligence.
Publish research findings in reputed conferences, journals, or technical forums.
Collaborate closely with engineering, product, and business teams to convert research prototypes into production-ready applications.
Stay updated with the latest advancements in AI research and evaluate emerging technologies for practical implementation.
Mentor junior data scientists and researchers while fostering a strong innovation-led culture.
Contribute to AI strategy, research roadmaps, whitepapers, and thought leadership initiatives.
Ensure responsible AI practices, fairness, explainability, and regulatory compliance across AI systems.
Required Qualifications & Skills
Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related field.
7–10 years of experience in AI Research, Machine Learning, or Applied AI Engineering.
Minimum 2–3 research publications in recognised AI/ML conferences or journals such as NeurIPS, ICML, ICLR, AAAI, ACL, EMNLP, or equivalent.
Strong expertise in:
Large Language Models (LLMs)
Transformers & Generative AI
Explainable AI (XAI)
Deep Learning & NLP
Agentic AI frameworks
Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face, and modern AI ecosystems.
Experience working with large-scale datasets, cloud platforms, distributed computing, and production ML pipelines.
Strong understanding of MLOps, model deployment, CI/CD pipelines, and scalable AI infrastructure.
Ability to take AI models from research stage to enterprise-grade deployment.
Excellent problem-solving, analytical, and communication skills.
Preferred Qualifications
Experience in BFSI, fintech, risk analytics, or customer intelligence domains.
Exposure to AI-driven decision systems, fraud analytics, recommendation engines, or intelligent automation platforms.
Contributions to open-source AI projects or active participation in the AI research community.
Familiarity with AWS, GCP, Azure, Spark, vector databases, and RAG-based architectures.
Understanding of Responsible AI and AI governance frameworks.
Show more Show less