· Machine Learning / Deep Learning
Generative AI / LLMs / Agentic AI
MLOps / Model Lifecycle Management
NLP / Computer Vision
Feature Engineering / Data Processing
AI Solution Architecture
Responsible AI / AI Governance
Model Deployment / Monitoring
Cloud & DevOps
· Microsoft Azure AI Services
AWS SageMaker
Google Vertex AI
Docker
Kubernetes
GitHub Actions / Azure DevOps
MLflow / Kubeflow
Data Technologies
· Vector Databases:
o Pinecone
FAISS
ChromaDB
Weaviate
Spark / Databricks
Data Lakes / Big Data Platforms
Education
· Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
· PhD in AI/ML is a plus.
Preferred Certifications
· Azure AI Engineer Associate
Azure OpenAI / AI Architect Certifications
AWS Machine Learning Specialty
Google Qualified Machine Learning Engineer
Databricks AI / Machine Learning Certifications
Desired Profile
· 12 years of experience in AI/ML engineering and solution architecture.
5 years of experience in Generative AI, LLMs, and MLOps.
Robust experience in enterprise AI transformation programs.
Proven ability to lead large-scale AI initiatives and client engagements.
Excellent communication, leadership, and stakeholder management skills.
Ideal Designation
· Senior AI Architect
Principal AI Architect
AI Practice Lead