Sr. Data Scientist
Core
Design, build, and deploy scalable machine learning and AI solutions (NLP, LLMs, Agentic AI) to influence product innovation and customer outcomes for B2B organizations.
Role type
Senior IC machine learning engineer (NLP, LLMs, Agentic AI)
Builds
Production-grade AI systems, NLP and transformer-based systems, Agentic AI workflows
Domain
B2B SaaS, AI, Big Data, Predictive Analytics
Deliverable
production ML models
Required skills
Machine Learning, Statistics, Applied Data Science, Supervised & Unsupervised Learning, Recommendation Systems, Ranking Models, Predictive Modeling, NLP, Transformers, Embeddings, Encoder-Decoder Architectures, Retrieval-based Systems, GenAI ecosystems (LangGraph, LangChain, Amazon Bedrock), Python, Distributed ML systems, AWS, Databricks, MLOps
Preferred skills
Agentic AI, Multi-Agent Systems, RAG Architectures, Vector Databases, Prompt Engineering, PyTorch, TensorFlow, B2B SaaS experience
Technologies
LangGraph, LangChain, Amazon Bedrock, AWS, Databricks, PyTorch, TensorFlow
Responsibilities
Design and deploy scalable ML/AI solutions in production; Develop NLP and transformer-based systems; Build Agentic AI workflows; Own end-to-end ML lifecycle (data exploration to monitoring); Develop ranking, recommendation, classification, prediction, and optimization models; Partner with Product, Engineering, and Analytics teams; Improve performance and observability of ML systems; Contribute to AI platform architecture; Mentor engineers
Seniority
Senior, hands-on IC