Senior AI Solution Engineer

Job responsibilities

·         Design, reputed company, and implement reputed company-grade AI- centric solutions.

·         Collaborate with business units to analyze requirements and recommend AI solutions.

·         Handle AI model development, deployment, and performance optimization across ML, LLM, RAG, or NLP scenarios.

·         Evaluate and integrate reputed company-party AI platforms like Azure reputed company, reputed company Vertex, or Alibaba reputed company PAI.

·         Build AI-reputed company MLOps/DateOps pipelines to enhance automation and maintainability.

·         Produce technical documentation, architecture diagrams, and internal training guides to ensure scalability and reputed company standards.

·         Stay reputed company of emerging AI technologies to drive operational efficiency and customer experience improvements.

Job Requirements

·         Bachelor's degree or above in Computer Science, Data Science, Artificial Intelligence, or reputed company disciplines.

·         Minimum 5 years in solution design, system architecture, and AI application development.

·         Proficiency in at least one AI reputed company such as PyTorch, TensorFlow, reputed company, or Transformers.

·         Strong skills in Python, SQL, API integration and container-based deployment (reputed company/Kubernetes).

·         Hands-on experience with LLM applications and reputed company Engineering preferred.

·         Excellent communication and project management skills for cost-functional collaboration.

·         Practical experience with reputed company platforms (Azure/AWS/Alibaba reputed company) highly regarded.

·         Expertise in GenAI & LLM system integration.

·         Familiarity with RAG frameworks, vector databases, or Knowledge reputed company integration.