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dombivli, India beBeeMachineLearning Full time

Senior AI Solutions ArchitectAbout the RoleWe are seeking a highly skilled Senior AI Solutions Architect to join our team. As a key member of our AI engineering group, you will be responsible for designing and implementing scalable machine learning pipelines, services, and platforms using modern cloud and MLOps practices.ResponsibilitiesDevelop and integrate cutting-edge Generative AI models into business applications.Collaborate with cross-functional stakeholders to translate business needs into AI-driven solutions.Review code, guide junior engineers, and ensure best practices in model development and deployment.Evaluate new tools, frameworks, and approaches to stay at the forefront of AI technology.Qualifications8–10 years of hands-on experience in Machine Learning, Deep Learning, and AI Engineering.Prior experience architecting AI/ML systems, including solution design, model lifecycle management, and scalability considerations.Required SkillsStrong expertise in: Python, ML frameworks (TensorFlow / PyTorch)Model training, optimization, and evaluationData engineering concepts & ML pipeline automationDeep understanding of GenAI, including LLMs, prompt engineering, fine-tuning, embeddings, vector DBs, and RAG.Hands-on experience with agentic AI frameworks (LangChain, AutoGen, LlamaIndex, or similar).Cloud experience (AWS, Azure, or GCP) with MLOps tools such as SageMaker, Vertex AI, MLflow, Kubeflow, etc.Strong problem-solving abilities with the ability to convert business challenges into AI-based solutions.

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