͏Agentic Ai AIML Engineer
- AI/ML Development and Deployment:
- Architect and implement scalable ML solutions using Azure ML Studio and Azure Machine Learning services
- Fine-tune and deploy LLMs for enterprise-grade applications
- Design and build RAG pipelines leveraging Azure services and vector databases
- Develop and orchestrate multi-agent LLM systems for complex workflows
- Ensure robust model deployment, monitoring, and performance optimization in production environments
- Azure Platform Engineering:
- Leverage Azure services such as Azure Data Lake, Azure Synapse, Azure Blob Storage, and Azure Cognitive Search for data ingestion and processing
- Integrate AI models with Azure-based data pipelines and APIs
- Use Azure DevOps for CI/CD of ML workflows and model versioning
- Apply MLOps best practices for model governance, monitoring, and retraining
- Ensure compliance with data governance, privacy, and security standards in cloud environments
- Data Engineering and Processing:
- Build and maintain ETL/ELT pipelines for structured and unstructured data using Databricks and Apache Spark
- Prepare and transform structured and unstructured data using Python, PySpark, and SQL for training and inference
Experience: 5-8 Years .
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.