Senior AI/ML Engineer (Multi-Cloud)
Own the design, implementation, testing, and deployment of scalable AI/ML solutions, including ML pipelines, LLM and Generative AI applications, and cloud-native AI/ML services across AWS, Azure, and GCP.
LocationAnywhere in USA (Remote / Nationwide Opportunities)
Position typeLong-Term Contract / Project
InterviewOnline / Virtual Interview
Key responsibilities
- Architect, train, fine-tune, and maintain ML models, deep learning networks, and Generative AI/LLM applications.
- Build REST APIs and microservices to integrate AI/ML capabilities into enterprise software.
- Deploy and monitor AI/ML pipelines using AWS SageMaker, Bedrock, and EKS; Azure OpenAI, Azure ML, and AKS; and GCP Vertex AI and GKE.
- Implement data pipelines using SQL, NoSQL, vector databases, and Apache Kafka.
- Build CI/CD and MLOps pipelines with Jenkins, Git, Kubernetes, and containerization.
Python, PyTorch, TensorFlow, Scikit-learn, LangChain/LlamaIndex, AWS, Azure, GCP, Jenkins, Kubernetes, Docker, Git, Jira, SQL/NoSQL, Kafka, vector databases, Agile/Scrum.