Overview
Skills
Job Details
Experience:
8 10 years in AI/ML and software/system architecture.
5+ years in solution/technical leadership roles.
Education:
Bachelor s in Computer Science, Data Science, or Engineering.
Master s or PhD in AI/ML preferred.
Cloud Expertise:
Azure: Azure ML, Cognitive Services, Data Factory, Databricks, Cosmos DB
AWS: SageMaker, Comprehend, Rekognition, Glue, Redshift, DynamoDB
Tools & Frameworks:
Languages: Python (mandatory), Java or C++
ML Frameworks: TensorFlow, PyTorch, Scikit-learn
Big Data & Streaming: Spark, Kafka, Hadoop
MLOps/DevOps: Kubernetes (AKS/EKS), Docker, MLflow, Kubeflow, CI/CD pipelines
Preferred Qualifications
Certifications: Azure AI Engineer Associate, AWS Certified Machine Learning Specialty
Advanced AI Expertise: Generative AI (Azure OpenAI, ChatGPT, AWS Bedrock), Prompt Engineering, Agentic AI
Community & Research: Contributions to open-source projects or AI/ML publications
Soft Skills: Strong communication, stakeholder management, and strategic thinking. Team leadership and mentoring