Machine Learning Specialist
Core
Own the end-to-end lifecycle of AI development, bridging state-of-the-art research and production-grade pipelines for business problems like credit scoring and fraud detection.
Role type
Senior IC machine learning specialist (research & engineering)
Builds
Production-grade AI models, APIs, and data pipelines for internal platforms
Domain
Financial services (credit scoring, fraud detection) + Machine Learning
Deliverable
production ML models | product features
Required skills
Python, SQL, PyTorch, TensorFlow, JAX, Git, CI/CD, MLOps, hyperparameter tuning, fine-tuning (PEFT, LoRA, QLoRA), feature engineering, containerization (Docker, Kubernetes)
Preferred skills
GenAI, NLP, Recommender Systems, Graph Algorithms, AWS/GCP/Azure AI services, published research
Technologies
Docker, Kubernetes, DVC, PyTorch, TensorFlow, JAX, AWS, GCP, Azure
Responsibilities
Conduct deep-dive research into SOTA architectures and foundational models; Execute rigorous hyperparameter tuning and fine-tuning techniques; Lead the design of experimentation datasets and production data pipelines; Architect and manage end-to-end deployment of models using containers and CI/CD pipelines; Build robust APIs to integrate AI models with internal platforms; Author and maintain full technical stack documentation and system architecture diagrams.
Seniority
Senior, hands-on IC