Chief Architect of Artificial Intelligence Solutions

1 week ago


thiruvananthapuram, India beBeeArtificial Full time

AI Systems Engineer Job OverviewJob Description:We are seeking a highly skilled AI Systems Engineer to join our team. The ideal candidate will have hands-on experience designing and deploying scalable AI solutions using modern frameworks and libraries.You will be responsible for translating complex business problems into AI solutions from scratch, including architecture design, approach selection, and technical feasibility assessment. Your collaboration with other engineering teams will help align innovative AI systems with broader development goals.The successful candidate will have a strong understanding of both data science methodologies and production system design. They will also have experience with Azure cloud services and containerization for AI/ML workloads, as well as MLOps tools and practices.Analyze business problems and design AI solutions from scratchDesign, develop, and deploy production-ready AI solutionsImplement Retrieval-Augmented Generation (RAG) systems and fine-tuning techniquesBuild and integrate AI frameworks and agentic systems to solve complex business problemsApply advanced prompt engineering techniques and output post-processing strategiesDesign and implement MLOps/LLMOps pipelines including CI/CD, model versioning, and monitoringLead end-to-end project delivery and mentor junior engineersRequired Skills and Qualifications:To be considered for this role, the ideal candidate will have the following skills and qualifications:6+ years total experience with at least 1 year as a Data Scientist and remaining years in ML/AI Engineering or MLOps rolesProven experience working with early LLM architectures (BERT, RoBERTa, GPT-2, T5, or similar transformer models)Demonstrable track record of deploying LLM-based models to production environmentsExpert-level Python programming and strong software engineering fundamentalsExperience with Azure cloud services and containerization for AI/ML workloadsHands-on experience with MLOps tools and practicesStrong understanding of both data science methodologies and production system designPlease note that we value candidates who have transitioned from data science roles into engineering, bringing both analytical depth and production deployment expertise. We are looking for individuals who can lead projects independently and mentor team members.



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