Staff Machine Learning Engineer
Core
Lead the architecture, development, and scaling of enterprise-grade Machine Learning and Generative AI platforms to deliver intelligent products impacting thousands of businesses globally.
Role type
Staff Machine Learning Engineer (Technical Leader)
Builds
Enterprise-scale GenAI solutions, scalable ML platforms, and production-grade AI systems
Domain
Enterprise AI, Generative AI, Large Language Models (LLMs)
Deliverable
production ML models
Required skills
Python, SQL, PyTorch, TensorFlow, Scikit-learn, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI Systems, Reinforcement Learning concepts, AI Evaluation Frameworks, Docker, Kubernetes, AWS/Azure/GCP, Vector Databases, API and Microservices Architecture, MLOps, Model Deployment, Feature Stores, Experiment Tracking, Observability and Monitoring
Preferred skills
Distributed computing frameworks (Spark), Fine-tuning and model adaptation pipelines, Knowledge graph-assisted AI systems, Prompt engineering and evaluation frameworks, AI orchestration frameworks, Multi-agent workflows
Technologies
OpenAI, Azure OpenAI, Anthropic Claude, Llama, Mistral, Gemini
Responsibilities
Define and drive technical vision for ML and GenAI initiatives; Design, develop, and deploy large-scale ML solutions in production; Architect and deliver enterprise-scale GenAI solutions; Build and optimize end-to-end ML pipelines; Mentor ML engineers and data scientists; Partner with stakeholders to translate business problems into scalable AI solutions
Seniority
Staff, hands-on IC with strategic leadership