Senior Consultant In Artificial IntelligenceWe are seeking a highly skilled Senior Consultant in Artificial Intelligence with strong expertise in Machine Learning, Deep Learning, and Generative AI. The ideal candidate will have hands-on experience designing and implementing LLM-powered applications, building RAG-based systems, and developing AI/ML solutions using Python. The candidate will work closely with data scientists, AI engineers, and business stakeholders to design scalable AI architectures and deliver intelligent solutions that solve complex business problems.Must Have Skills (Top 3)Python, Machine Learning, NLP, and text data analysisExperience building APIs and AI servicesHands-on experience with RAG, Vector Databases, LLM Prompt Engineering, and LLM EvaluationKey ResponsibilitiesDesign and implement Machine Learning and Deep Learning models to solve complex business problems.Develop Generative AI solutions using modern Large Language Models (LLMs).Build scalable AI systems for text analytics, NLP, and intelligent automation.Develop applications leveraging Retrieval-Augmented Generation (RAG) architectures.Implement prompt engineering strategies to optimize LLM performance.Build and evaluate LLM pipelines, including data ingestion, retrieval layers, and response generation.Design and develop APIs for AI/ML services using Python frameworks.Integrate AI services with enterprise systems and applications.Ensure scalability, performance, and reliability of AI platforms.Perform model evaluation, monitoring, and performance tuning.Conduct LLM evaluation and benchmarking to measure model effectiveness.Work with text data pipelines, embeddings, and vector search mechanisms.Define solution architecture for AI and Generative AI systems.Implement scalable solutions using vector databases and AI orchestration frameworks.Guide teams on AI best practices, design patterns, and deployment strategies.Collaborate with cross-functional teams including product, engineering, and business stakeholders.Translate business requirements into AI-driven solutions.Present technical designs, architecture decisions, and solution outcomes to stakeholders.Required Technical SkillsStrong proficiency in Python programmingExpertise in Machine Learning and Deep LearningExperience in Natural Language Processing (NLP) and text analyticsHands-on experience with Large Language Models (LLMs)Knowledge of RAG architecture and vector databasesExperience in LLM prompt engineering and evaluationExperience building AI APIs and microservicesUnderstanding of AI system scalability and deploymentPreferred SkillsExperience with agentic frameworks and autonomous AI systemsKnowledge of AI model lifecycle and MLOpsExperience with cloud platforms (AWS, Azure, or GCP)Familiarity with LLM orchestration frameworks such as LangChain or LlamaIndexCandidate ExpectationsThe problem statement of previous AI projectsSolution architecture and design decisionsTechnologies and frameworks usedChallenges faced during implementationResults and business impact of the solutionTop ResponsibilitiesDesign and implement Generative AI and Machine Learning solutions.Build LLM-powered applications using RAG, vector databases, and prompt engineering.Provide technical leadership and architecture guidance for AI initiatives.
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