Gen AI Architect

3 hours ago

Noida Uttar Pradesh India, Ghaziabad Tata Consultancy Services Full time

Role: Gen AI ArchitectRequired Technical Skill Set (MustHave): Gen AI / LLM /Agentic AIDesired Experience Range: 10 to 20 YrsLocation of Requirement :Pan IndiaDesired Competencies (Technical/Behavioral Competency)Must-HaveGen AIExperience in LLMs, Embedding Models, Prompt EngineeringKnowledge of statistical programming languages like PythonGood applied statistical skillsGood knowledge of machine learning algorithmsProficiency in handling imperfections in data & generating insights and patterns.Experience with Data Visualization ToolsFine tuning of LLMEvaluation Framework (RAGAS, ROUGE, BLUE Scrore)Autoencoding model (Encoder: ROBERTA/ BERT/ DistilBERT)Langsmith frameworkAutoregressive model (Decoder: GPT/ BLOOM/ LLama/ Mistral/ Claude/ CodeGen/ OPT/ PaLMRAG/Multimodal Architecture using Langchain/ LlamIndexMCP ArchitectureExperience Agentic AI Framework ( Crew AI, AutoGen, LangGraph, Google AVD etc. )Experience in Model deployment, LLMOps, Scalability and PerformanceFine tuning of LLMAI ML exp.Candidate has exp. in Transformer Architecture (Encoder and decoders)Knowledge Graph implementation (If anyone has created knowledge graph, that's good)Good-to-HaveExcellent Communication SkillsStrong Software Engineering Background (Productionizing the models)Hands-on experience with data science toolsProblem-solving aptitudeAnalytical mind and great business senseResponsibility of / Expectations from the Role Data mining or extracting usable data from valuable data sources.Using machine learning tools to select features, create and optimize predictive models.Carrying out preprocessing of structured and unstructured dataEnhancing data collection procedures to include all relevant information for developing analytic systems.Processing, cleansing, and validating the integrity of data to be used for analysis.Analyzing large amounts of information to find patterns and solutions.Developing prediction systems and machine learning algorithmsAbility to use LLMs to build GenAI powered solutions.Presenting results in a clear mannerPropose solutions and strategies to tackle business challenges.Collaborate with Business and IT teams.Designing and developing machine learning and deep learning systemsKnowledge of productionizing the ML and DL applications and monitoring

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