Specialist - Data Sciences

About the role

We are seeking handson AIML engineers to design build and deploy Agentic AI solutions The roles will focus on building intelligent agents and pipelines that leverage Large Language Models LLMs tool usage retrieval augmentation and cloudnative services to solve real business problems at production scale

What you'll do

• Agent Design Orchestration Build LLMpowered agents with tooluse memory planning and multistep reasoning orchestrate agent workflows for robust task completion
• GenerativeAgentic AI Integration Implement RAG pipelines indexing chunking embeddings vector stores prompt engineering and model finetuningparameterefficient tuning…
• Data ML Pipelines Design scalable ETLELT and feature pipelines automate traininginference workflows implement MLOps versioning CICD monitoring rollback
• CloudNative Engineering Deliver solutions on AzureAWSGCP using managed AIML services serverless components container orchestration and IaC
• APIs Services Develop secure performant Python services eg FastAPIFlask for inference and agent endpoints integrate with enterprise systems and data sources

What you need

• 5–7 yrs of experience
• Machine learning
• Python
• LLMs
• MLOps
• CI/CD
• Terraform
• Any graduate

Good to have

• Azure
• Docker
• Kubernetes
• Prompt engineering
• ETL