05 Aug
|
BRIDGE Global
|
India
05 Aug
BRIDGE Global
India
5+ Years of experience • Full Time • India
Job Profile:
We are looking for a skilled AI professional with 5+ years of experience in Machine Learning, Azure MLOps, Agentic AI, RAG systems, and enterprise AI solution development using modern cloud and AI technologies.
What we are looking for in you
- Machine Learning & Azure MLOps
Experience in building, deploying, monitoring, and managing ML models and production-grade MLOps pipelines on Azure.
- Agentic AI / AI Agent Development
Ability to develop intelligent AI agents using modern frameworks like LangChain, LangGraph, or AutoGen.
- Multi-Agent Orchestration
Experience designing workflows where multiple AI agents collaborate, coordinate tasks, and support human-in-the-loop processes.
- Data Engineering & Vectorization
Strong understanding of data pipelines, embeddings, vector databases, and semantic retrieval systems for AI applications.
- RAG & Semantic Search
Hands-on expertise in Retrieval-Augmented Generation (RAG), contextual search, and enterprise knowledge retrieval systems.
- Cloud & AI Infrastructure
Experience with Azure cloud services, scalable AI deployments, Docker, Kubernetes, and API-based architectures.
- Production AI Deployment
Ability to operationalize AI solutions with CI/CD, monitoring, governance, and scalable deployment practices.
- AI Workflow Automation
Experience automating business workflows and enterprise processes using AI-powered systems and orchestration tools.
- Enterprise AI Solutions
Proven ability to design and deliver enterprise-grade AI applications for real-world business use cases.
- Generative AI & LLM Integration
Experience integrating Large Language Models (LLMs), prompt engineering, and GenAI capabilities into enterprise platforms.
Office
India
Employee Benefits
Adaptable
Working Hours
Competitive
Base Salary
Medical
Insurance
Onsite Travel
Opportunities
Healthy
Luncheon
Trainings &
Certifications
Biannual
Company Trips
📌 Senior AI Engineer (India)
🏢 BRIDGE Global
📍 India