Data Scientist
Core
Design, develop, deploy, and optimize AI-driven solutions using machine learning, deep learning, and Generative AI to solve complex business problems.
Role type
Senior IC Data Scientist (AI/ML Engineering)
Builds
Production ML models, Generative AI applications, and end-to-end AI/ML pipelines
Domain
AI & LLM Engineering, Cloud Services, Data & Analytics
Deliverable
production ML models
Required skills
Machine learning, deep learning, Generative AI, statistical modeling, MLOps, transformer models, reinforcement learning, LLMs, neural embeddings, RAG, LangChain, LangGraph, vector databases, ELT pipelines, Python, R, SQL, Shell Scripting, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
Preferred skills
CI/CD for ML, Docker, Kubernetes, ML monitoring, Spark, Agile/Scrum
Technologies
AWS, LangChain, LangGraph, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn
Responsibilities
Design and deploy ML/deep learning models; Build and maintain end-to-end AI/ML pipelines; Develop Generative AI applications using LLMs and agentic frameworks; Implement AI solutions with LangChain and LangGraph; Apply statistical modeling and optimization for business challenges; Collaborate on ELT pipelines and scalable data architectures; Deploy models on AWS following MLOps best practices; Mentor junior team members
Seniority
Senior, hands-on IC