AI/Machine Learning Systems Designer

2 weeks ago


bangalore, India beBeeArtificial Full time

Job Title: AI/ML ArchitectWe are seeking a seasoned AI/ML Architect with 9+ years of experience to lead end-to-end architecture, design, and development of intelligent solutions.The ideal candidate will have a strong background in Generative AI, Large Language Models (LLMs), and Machine Learning system design. They will be responsible for building scalable AI-driven systems, integrating LLMs, and driving innovation across NLP, computer vision, and data-centric workloads.Key Responsibilities: Architect and implement LLM-powered applications (Text-to-SQL, RAG, Agent Orchestration, and Prompt Engineering frameworks) Design scalable data and ML pipelines for training, fine-tuning, and deploying models Collaborate with data scientists, product managers, and DevOps teams to define AI system architecture and MLOps practices Work with cloud-native services (GCP/AWS) to deploy, monitor, and optimize AI/ML workloads Lead model evaluation and optimization for performance, scalability, and cost-efficiency Contribute to roadmap discussions and provide technical leadership for new AI initiativesPreferred Skills/Tools: Strong expertise in Generative AI concepts – RAG, Text-to-SQL, Agentic workflows, and Prompt Tuning Hands-on experience with open-source LLMs (Llama, Mistral, Falcon, etc.) and frameworks like LangChain, LlamaIndex, Hugging Face, or Haystack Solid foundation in Machine Learning & Deep Learning, with knowledge of feature engineering, model tuning, and evaluation Experience in Natural Language Processing (NLP) – sentiment analysis, summarization, text segmentation, anomaly detection, and synthetic data generation Exposure to Computer Vision workflows – image/video classification, detection, or feature extraction Strong coding proficiency in Python (PyTorch/TensorFlow) Working knowledge of containerization (Docker) and CI/CD for ML deployment Practical experience with cloud computing services (GCP preferred, AWS exposure desirable)Behavioral Skills: Strong communication and collaboration skills to work across multi-functional teams and stakeholders Independent problem-solver with a solution-oriented mindset and the ability to make sound architectural decisions Demonstrates accountability, ownership, and continuous learning in a fast-evolving AI landscape Brings strategic thinking and a passion for applying AI to real-world business problems 



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