Description

Develop and deploy machine learning, statistical, and AI models to solve business problems and improve decision-making.

Collect, clean, analyze, and interpret large volumes of structured and unstructured data to generate actionable insights.

Build and optimize Generative AI solutions, including LLMs, RAG systems, and predictive analytics models.

Design, develop, and deploy AI/ML and Generative AI solutions to solve complex business challenges and automate processes.

Build and optimize Large Language Model (LLM) applications, RAG pipelines, AI agents, and intelligent automation workflows.

Develop scalable APIs, microservices, and cloud-based AI applications using up-to-date software engineering practices

Design, build, and manage end-to-end ML/AI pipelines for model training, deployment, monitoring, and maintenance.

Implement CI/CD, automation, containerization, and infrastructure-as-code practices to streamline AI/ML operations.

Deploy and scale machine learning and Generative AI models on cloud platforms while ensuring performance, reliability, and security.

Primary skills

1. Azure AI/ML
2. Python
3. RAG.





Enable Skills-Based Hiring No ECMS REQ IDAdditional Details

- ECMS REQ ID : 580837//580852//580854//580855
- Project Location 1 : KRNK | Bengaluru
- Project Location 2 : (No Value)
- Project Location 3 : (No Value)
- Project Location 4 : (No Value)
- Delivery SPOC : Lakshmikanth M K [[email protected]]
- Relevant Experience : 7 Years
- Mandatory skills : Primary skills:Azure AI/MLPythonRAG. Secondary skill:SQL | PySpark | Databricks | Machine Learning | Deep Learning | Generative AI | LLMs | MLOps | CI/CD | Docker | Kubernetes | Git | Model Deployment & Monitoring | Data Engineering | Spark | REST APIs | Cloud Technologies
- Desired skills : Bachelor’s degree in engineering, Computer Science
- Domain (Industry) : Insurance
- BGC (Before onboarding / After onboarding) : HybridOB
- Total Experience (Ex. 5-7 Years) : 8+ Years
- BGC Details : Standard
- BGC Vendor : Standard
- Mode of Interview : Face to Face
- WFO / WFH / Hybrid : Hybrid
- Please enter shift timings : Singapore Shift
- Shift Timings : Others

📌 580837//580852//580854//580855_Data Scientist / AI Engineer/ MLOps Engineer_ANALYTICS_India (Bengaluru)
🏢 Trigent Software
📍 Bengaluru