Gen AI Architect

1 day ago

Mumbai, India Tata Consultancy Services Full time

Role - Gen AI ArchitectYears of Experience - 8 to 10 yearsLocation - Bangalore, Noida, Pune, Mumbai, Hyderabad- Gen AI / LLM /Agentic AI- Gen AI- Experience in LLMs, Embedding Models, Prompt Engineering- Knowledge of statistical programming languages like Python- Good applied statistical skills- Good knowledge of machine learning algorithms- Proficiency in handling imperfections in data & generating insights and patterns.- Experience with Data Visualization Tools- Fine tuning of LLM- Evaluation Framework (RAGAS, ROUGE, BLUE Scrore)- Autoencoding model (Encoder: ROBERTA/ BERT/ DistilBERT)- Langsmith framework- Autoregressive model (Decoder: GPT/ BLOOM/ LLama/ Mistral/ Claude/ CodeGen/ OPT/ PaLM- RAG/Multimodal Architecture using Langchain/ LlamIndex- MCP Architecture- Experience Agentic AI Framework ( Crew AI, AutoGen, LangGraph, Google AVD etc. )- Experience in Model deployment, LLMOps, Scalability and Performance- Fine tuning of LLM- AI ML exp.- Candidate has exp. in Transformer Architecture (Encoder and decoders)- Knowledge Graph implementation (If anyone has created knowledge graph, that's good)- Excellent Communication Skills- Strong Software Engineering Background (Productionizing the models)- Hands-on experience with data science tools- Problem-solving aptitude- Analytical mind and great business sense- 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 data- Enhancing 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 algorithms- Ability to use LLMs to build GenAI powered solutions.- Presenting results in a clear manner- Propose solutions and strategies to tackle business challenges.- Collaborate with Business and IT teams.- Designing and developing machine learning and deep learning systems- Knowledge of productionizing the ML and DL applications and monitoring

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