Machine Learning Engineer III
Core
Building state-of-the-art ML-based solutions and end-to-end production pipelines for B2B SaaS products, including AI agents for content, media, and sales.
Role type
Senior IC machine learning engineer (platform & production)
Builds
End-to-end machine learning platforms, AI-driven pipelines, and scalable ML infrastructure for retail ecommerce management.
Domain
B2B SaaS / Retail Ecommerce / AI
Deliverable
production ML models
Required skills
Machine learning model development, large-scale ML pipeline deployment, distributed computing frameworks, cloud infrastructure, ML operations, software engineering, architecture, Python, SQL, ML frameworks (TensorFlow, Keras, PyTorch), data ingestion, feature engineering, model management, performance monitoring.
Preferred skills
Databricks, LLMs, OCR, transformer-based embeddings, Terraform.
Technologies
AWS, GCP, Azure, Spark, Map-Reduce, Terraform, Databricks, TensorFlow, Keras, PyTorch, Python, SQL, scikit-learn, pandas, NumPy.
Responsibilities
Contribute to development of multiple AI-driven end-to-end pipelines for deployment and scalability; build an end-to-end machine learning platform covering all lifecycle stages; build tools for data ingestion, feature engineering, and data management; deploy cutting-edge algorithms like LLMs on GPUs with distributed computing; contribute to model management and performance monitoring tools; implement engineering practices for scaling ML-powered features; champion and own the ML infrastructure roadmap.
Seniority
Senior, hands-on IC
