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Experience: 5-7 years
Location : Gurgaon
Required Functional Skill Set
The Gen AI Resource for TCS BaNCS will define and execute the AI vision for the product group, embedding AI-driven capabilities into core banking and capital market solutions. This role focuses on leveraging AI for automation, compliance, and operational efficiency across complex financial workflows such as Corporate Actions, while driving innovation through Generative AI.
Must Have
Roles And Responsibilities :
GenAI-Specific Skills
Job ID: 151280987
Skills:
Machine Learning, Pyspark, Hypothesis Testing, Microservices, Sql, Rest Apis, Python, LangChain, Generative AI, LLMs, Model Evaluation, cloud-native deployments, Statistics, vector databases, Function Calling AI Agents, Structured Outputs, DSPy, semantic search technologies, NLP techniques, Prompt Engineering, LlamaIndex, RAG architectures
Skills:
AWS, Azure, Gcp, Python Programming, ML Flow, Agentic AI, Generative AI
Skills:
S3, Deduplication, ELT, Tensorflow, Nlp, Pytorch, Python, AWS, Matplotlib, Azure ML, Git, Gcp, Databricks, Azure, Etl, scikit-learn, Hugging Face Transformers, standardization, Cleansing, data quality techniques, enrichment, Vertex AI, AI ML libraries, Streamlit, LangChain, LLMs, Plotly, SageMaker, Profiling, Glue
Skills:
Cloud deployment, Tensorflow, Pandas, Api Integration, Pytorch, Python, Git, MLflow, Scikit-learn, Haystack, Azure OpenAI, Microsoft Copilot Studio, AI Foundry, LangChain, Transformers
Skills:
Databricks, Big Data Technologies, Tensorflow, Jira, Agile Methodologies, Pytorch, Terraform, Azure DevOps, Scrum, Machine Learning, Python, Nlp, data visualization tools, machine learning services, scikit-learn, Azure cloud platforms, open-source tools for data processing, Meta, Spark MLlib, cloud-based analytics, Apache MXnet, Kanban, HuggingFace, Generative AI, Document Intelligence, nemo, non-relational datastores