Data Driven Solution Developer

2 days ago

bhavnagar, India beBeeAi Full time

Artificial Intelligence SpecialistAbout the Role:A highly skilled Artificial Intelligence Specialist will leverage cutting-edge AI technologies to build pioneering Natural Language Processing and Generative AI solutions. This expert will utilize their expertise to develop Intelligent AI Solutions that solve real-world infrastructure problems, enhancing operational efficiency and resilience.Key Responsibilities:Develop LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration.Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.Collaborate with cross-functional engineers to deliver high-impact operational experience.Serve as a subject matter expert on a wide range of ML techniques and optimizations.Mentor & Share Best Practices—Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.Requirements:Minimum bachelor's degree in Data Science or a related field.5+ years of experience (at least 2 years working on generative AI technologies).Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.Strong proficiency in Python. Additionally, exposure to Golang is a plus.Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.Proven ability to build scalable, reliable production services.Ability to work on tasks and projects through to completion with limited supervision.Distinguish yourself with:Agentic AI Mastery—Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.LLM Inference Optimization—Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.End-to-End ML Systems Ownership—A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

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