Gen ai architect

38 minutes ago


Hyderabad, India Tata Consultancy Services Full time

Role: Gen AI ArchitectRequired Technical Skill Set (Must Have): Gen AI / LLM /Agentic AIDesired Experience Range: 10 to 20 YrsLocation of Requirement : Pan IndiaDesired Competencies (Technical/Behavioral Competency)Must-Have- 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/ Distil BERT)- Langsmith framework- Autoregressive model (Decoder: GPT/ BLOOM/ LLama/ Mistral/ Claude/ Code Gen/ OPT/ Pa LM- RAG/Multimodal Architecture using Langchain/ Llam Index- MCP Architecture- Experience Agentic AI Framework ( Crew AI, Auto Gen, Lang Graph, 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)Good-to-Have- 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 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 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 Gen AI 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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