Machine Learning Engineer
Core
Senior Machine Learning Engineer building production-ready AI systems (NLP, Computer Vision, GenAI) for global product companies, handling the full lifecycle from training to serving.
Role type
Senior hands-on IC Machine Learning Engineer
Builds
Production ML models, AI-driven product features, and scalable inference pipelines for global clients
Domain
Artificial Intelligence / Machine Learning / Software Engineering
Deliverable
production ML models
Required skills
Python, Supervised and Unsupervised ML algorithms, Deep Learning (PyTorch/TensorFlow), MLOps, Data Engineering (SQL/NoSQL), Model Evaluation and Monitoring, Mathematical Foundations
Preferred skills
Kubernetes, Vector/Graph Databases, LLM/RAG/Agentic AI, Observability, Apache Airflow
Technologies
Python, PyTorch, TensorFlow, AWS/GCP/Azure, Docker, Kubernetes, Qdrant, Neo4j, LangGraph, AutoGen, CrewAI, MLflow, DVC, GitHub Actions
Responsibilities
Design and implement end-to-end ML pipelines from data preparation to model serving; optimize and deploy models to cloud infrastructure; monitor model performance and detect drift; collaborate in cross-functional product teams; make autonomous technical decisions without micromanagement
Seniority
Senior, hands-on IC