Machine Learning Engineer
Core
Architect, train, and deploy AI/ML models and intelligent agents in a private cloud environment to solve complex business problems.
Role type
Senior IC Machine Learning Engineer (Generative AI & Agents)
Builds
Production ML models, generative AI integrations, autonomous AI agents, and MLOps pipelines.
Domain
Artificial Intelligence, Generative AI, Cloud Infrastructure
Deliverable
production ML models
Required skills
Machine learning, deep learning, NLP, Python, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, private cloud infrastructure, GPU provisioning, Docker, Kubernetes, prompt engineering, RAG, embeddings, vector databases, data engineering, feature pipeline design
Preferred skills
Multi-agent system architecture, tool-using agents, MLOps practices, responsible AI guardrails, rapid prototyping, innovative problem-solving
Technologies
OpenAI, Anthropic, private cloud, Docker, Kubernetes, LangChain, LlamaIndex
Responsibilities
Design, train, and deploy ML and deep learning models; Build integrations between proprietary models and generative AI platforms; Architect and develop AI agents including multi-agent systems and RAG-based assistants; Ingest, clean, and synthesize data from diverse sources; Establish MLOps practices for model versioning, monitoring, and evaluation; Partner with stakeholders to scope problems and iterate on solutions.
Seniority
Senior, hands-on IC
