AI/Ml Architect
- Source: LinkedIn
- HiringEye
- On-site
- Hyderabad
- Full-Time
- Mid level
Job Description
Jd for the role of AI/ML Architect
Experience: 12 to 18 Years
Location: Hyderabad
Job Summary
We are looking for an experienced AI/ML Architect to design, build, and deploy enterprise-grade AI/ML solutions. The ideal candidate will lead the technical delivery of AI initiatives, collaborate with cross-functional teams, and ensure scalable, secure, and production-ready AI systems.
Key Responsibilities
- Design and implement scalable AI/ML architectures and production-ready solutions.
- Lead the development, deployment, and optimization of AI/ML models and LLM-based applications.
- Collaborate with Engineering, Data Science, and Product teams to deliver AI solutions.
- Build and manage MLOps/LLMOps pipelines, data workflows, and model deployment processes.
- Ensure AI systems meet performance, security, governance, and compliance standards.
Required Skills
- 10+ years of software engineering/architecture experience with 5+ years in AI/ML.
- Strong programming skills in Python and experience with PyTorch, TensorFlow, or Scikit-learn .
- Experience with LLMs, RAG, Vector Databases (Pinecone, Weaviate, Qdrant) , and LangChain/LangGraph .
- Hands-on experience with MLOps tools such as MLflow, Kubeflow, KServe, Airflow, or Argo .
- Experience with GCP or Azure AI services , Docker , Kubernetes , and Terraform .
- Excellent communication, technical leadership, and problem-solving skills.
Preferred Skills
- Experience with Agentic AI , multi-agent frameworks (CrewAI, AutoGen), and AI governance/observability tools.
- Knowledge of Responsible AI, model monitoring, and regulatory compliance.
Skills
- Python
- PyTorch
- Tensorflow
- Scikit-learn
- qdrant
- LangChain
- LangGraph
- ml-flow
- mlflow
- kubeflow
- Airflow
- apache-airflow
- argo
- google-cloud-platform
- microsoft-azure
- Docker
- Kubernetes
- Terraform
- crewai
