AI Research Engineer Loop Techno Systems Pvt Ltd
Loop Techno Systems Pvt Ltd
Office Location
Full Time
Experience: 5 - 5 years required
Pay: INR 400000 - INR 500000 /year
Type: Full Time
Location: All India
Skills: ui, Vector, Machine Learning, Deep Learning, Reinforcement Learning, Python, C, Philosophy of Mind, LLM, LoRa, QLLM, PyTorch, Tensorflow, Graph Neural Networks, MetaLearning, Symbolic AI, XAI, Ethical AI, UI App development
About Loop Techno Systems Pvt Ltd
Job Description
As an AI Research Engineer specializing in Cognitive Systems & Autonomous Intelligence, you will be responsible for utilizing tools such as LLM, LORA, QLLM, UI, and VECTOR to develop next-generation Autonomous AI Systems. Your role will involve implementing Cognitive Architectures, Consciousness-inspired Models, and optimizing LLMs, Transformers, and Generative AI Systems. Additionally, you will integrate Graph Neural Networks, Meta-Learning, Symbolic AI, and Evolutionary Algorithms to deploy and test agents in various environments. With a minimum of 5 years of experience in AI/ML Systems, you will leverage your expertise in Machine Learning, Deep Learning, and Reinforcement Learning to contribute to the development and scaling of Autonomous Decision-Making AI frameworks. Proficiency in Python, C++, PyTorch, and TensorFlow is essential for this role. Furthermore, you should possess a solid understanding of Philosophy of Mind, XAI, and Ethical AI principles. Collaborating with a visionary team, you will have the opportunity to work on multi-agent simulations, emergent behavior research, and UI + App Development for real-world interaction and visualization. Your work will focus on maintaining ethical standards, explainability, and alignment in AI agents while exploring self-reflective or emergent consciousness models. This role offers you the chance to build next-generation AI systems at the forefront of cognition and intelligence, work in a creative space for experimentation and intellectual growth, and contribute to research and real-world deployments. If you are passionate about developing self-learning, adaptive, and intelligent agents, this position is tailored for you.,