AI / ML Engineering or Architecture
- Source: Naukri
- Conqueri Technologies India
- $52,301.97 to $73,222.76 /yr
- On-site
- Hyderabad
- Full-Time
- Mid level
Job Description
Designation : AI/ML Architect
Location: Hyderabad (Onsite 5 Days/Week)
Experience: 10-18 Years
Positions:(Contractor to Hire) 4
Employment Type: Contractor / Consultant
Notice Period: Immediate Joiners or Max 2 Weeks
Role Summary
We are looking for an experienced AI/ML Architect to lead the design, development, deployment, and optimization of enterprise AI/ML and Agentic AI solutions. The ideal candidate should have strong hands-on expertise in AI architecture, LLMs, Python, LangChain, and LangGraph, with experience delivering scalable AI solutions on cloud platforms.
Key Responsibilities
- Design and deliver enterprise AI/ML and Agentic AI solutions.
- Build and deploy LLM, RAG, and multi-agent AI applications.
- Develop AI workflows using LangChain and LangGraph.
- Lead architecture, code reviews, and technical guidance for engineering teams.
- Implement MLOps/LLMOps pipelines and AI governance best practices.
- Collaborate with cross-functional teams and client stakeholders.
Mandatory Skills
- AI/ML Architecture
- Large Language Models (LLMs)
- Python
- LangChain
- LangGraph
- RAG & Vector Databases
- MLOps / LLMOps
- GCP (Vertex AI) and/or Azure AI
- Docker & Kubernetes
Required Experience
- 10+ years in Software Engineering/Architecture with 5+ years in AI/ML delivery.
- Hands-on experience with PyTorch, TensorFlow, or Scikit-learn.
- Experience with MLflow, Airflow, Kubeflow, Argo, or KServe.
- Strong knowledge of GCP/Azure AI services and cloud-native architectures.
- Excellent communication and stakeholder management skills.
Immediate joiners or candidates who can join within 2 weeks are highly preferred.
Skills
- agentai
- LangChain
- LangGraph
- Python
- google-cloud-platform
- vertex
- microsoft-azure
- Docker
- Kubernetes
- PyTorch
- Tensorflow
- Scikit-learn
- ml-flow
- mlflow
- Airflow
- apache-airflow
- kubeflow
- argo
