Role: AI/ML Architect
Location: Fremont, CA (Hybrid)
Duration: Full-time
Job Description:
We are seeking an experienced and visionary AI/ML Architect to lead the end-to-end design, development, deployment, and operationalization of advanced AI/ML and Generative AI (GenAI) solutions on cloud platforms. The ideal candidate will possess deep technical expertise in ML architecture, GenAI frameworks, Retrieval-Augmented Generation (RAG) pipelines, cloud-native deployment, and MLOps practices. You will work closely with cross-functional teams, clients, and engineering teams to define scalable AI strategies and deliver cutting-edge solutions across various domains.
Required Qualifications
• 7+ years of overall IT experience, with minimum of 5+ years in designing, developing, deploying, and operationalizing AI/ML solutions.
• Minimum 2–3 years of experience in architecting end-to-end AI/ML solutions, including design, implementation, and production deployment.
• Proven experience in GenAI, LLMs, RAG architecture, prompt engineering, and orchestration tools like LangChain, LlamaIndex, etc.
• Hands-on with vector databases (e.g., Pinecone, FAISS, Elasticsearch) and unstructured data retrieval.
• Deep knowledge of Machine Learning and Deep Learning algorithms: CNNs, RNNs, LSTMs, Transformers, etc.
• Experience in Natural Language Processing (NLP), including language modeling, summarization, classification, and NER.
• Strong expertise in Python, with frameworks like PyTorch, TensorFlow, HuggingFace, NumPy, and Pandas.
• Demonstrated experience in designing cloud-native AI/ML solutions on AWS, Google Cloud Platform, or Azure.
• Skilled in deploying models via services like SageMaker, Vertex AI, Azure ML, or using containers and Kubernetes.
• Solid understanding of MLOps/LLMOps lifecycle: pipeline automation, model registry, monitoring, CI/CD.
• Excellent communication, leadership, and stakeholder management skills.
Preferred Qualifications
• Certification in AWS/Google Cloud Platform or ML specializations.
• Experience in leading large-scale AI transformation programs.
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