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Popular mid-level AI title, 4+ years requirement, and broad LLM/MLOps skillset increase applicant competition.
Role requires specialized ML/LLM and MLOps expertise, moderately limiting cross-industry transferability.
Mandatory 4+ years and specific AI/ML, LLM, and MLOps tech requirements increase shortlisting strictness.
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Design, develop, deploy, and optimize AI/ML models including Generative AI and Large Language Models to deliver scalable AI solutions.
Build and integrate intelligent AI applications using LLMs, Retrieval-Augmented Generation, and Agentic AI frameworks via APIs and microservices.
Implement and maintain MLOps best practices for model training, deployment, monitoring, and compliance with security and responsible AI guidelines.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
4+ years of experience in AI/ML development.
Proficient in Python and experienced with TensorFlow, PyTorch, and Scikit-learn frameworks.
Experience with Generative AI, Large Language Models, prompt engineering, and AI solution integration using REST APIs and microservices.
Experienced in deploying scalable AI solutions in cloud environments (GCP, Azure, AWS) with strong MLOps expertise.
Familiar with advanced AI frameworks and tools such as LangChain, Vertex AI, MLflow, Docker, and Kubernetes.
Capable of collaborating effectively with cross-functional teams to translate business needs into AI-driven applications and improvements.