Artificial intelligence engineer

3 days ago


Bangalore, India JIIBS Full time

Immediately available AI/ML Developers only. MUST BE FLUENT IN ENGLISH. Location: Remote Compensation: ₹90-175 K INR per Month, depending on experience. About JIIBS is a prop-tech start-up based in New York City developing various prop-tech and consumer-tech products. We have been launched and live for the past couple months, but have decided to go stealth to build an internal product. Requirements: Design and develop advanced machine learning models for AI agent functionalities, including task automation, decision-making, and natural language understanding. Lead the development and optimization of scalable ML pipelines, leveraging frameworks like Tensor Flow, Py Torch, or JAX for state-of-the-art model training. Master's or Ph. D. (preferred, Bachelors mandatory) in Computer Science, Artificial Intelligence, Machine Learning, or a related field preferred. Engineer robust, domain-specific large language models (LLMs) and integrate cutting-edge technologies like transformers, reinforcement learning, or few-shot learning techniques. Implement advanced Natural Language Processing (NLP) capabilities, including intent recognition, entity extraction, and context-aware conversational flows using libraries like Hugging Face or proprietary systems. Deploy AI models in production environments, leveraging cloud platforms such as AWS (Sage Maker, Lambda, ECS), GCP (Vertex AI, Cloud Run), or Azure (Machine Learning Studio). Architect and manage highly efficient, distributed systems for real-time AI agent performance, employing microservices and containerization technologies like Docker and Kubernetes. Optimize models for latency and scalability to handle high-volume interactions, ensuring minimal downtime and maximal performance in production. Secure AI models and systems through advanced techniques such as adversarial training, differential privacy, and robust encryption mechanisms. Collaborate with cross-functional teams to integrate AI solutions into a seamless Saa S platform, aligning with user needs and platform objectives. Build and maintain robust RESTful or Graph QL APIs for model serving and communication with other platform components.



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