Senior Data Scientist - AI/ML
Core
Design, deploy, and scale production-grade ML systems including LLM pipelines, AI copilots, and agentic workflows.
Role type
Senior IC machine-learning engineer (generative AI)
Builds
Production ML systems, LLM-based pipelines, AI copilots, agentic workflows
Domain
Generative AI, Large Language Models, MLOps
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, JAX, LLM fine-tuning, LoRA/QLoRA, vector search, RAG pipelines, agent-based development, MLOps, Docker, Kubernetes, Spark, software engineering, testing, APIs
Preferred skills
Open-source contributions, GenAI research, applied systems at scale
Technologies
Docker, Kubernetes, Spark, Weaviate, PGVector
Responsibilities
Own the full ML lifecycle from design to deployment; Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection; Fine-tune LLMs and implement RAG pipelines; Build agentic workflows for reasoning and decision-making; Develop real-time and batch inference systems; Collaborate with product and engineering teams to integrate AI models; Mentor junior team members and promote MLOps and responsible AI best practices
Seniority
Senior, hands-on IC