Machine Learning Engineer
Work Environment
Location Remote / United States
Team Advanced analytics and machine learning applications division.
Cadence Asynchronous delivery with weekly iteration reviews.
Culture Research-driven, collaborative, and highly analytical.
Role Overview
We are seeking a Machine Learning Engineer to design, scale, and manage our machine learning pipelines and models in production. You will be responsible for turning prototypes into production-grade features that directly affect business intelligence and customer interactions.
What You Will Do
Design, develop, and scale production machine learning pipelines.
Train, evaluate, and tune deep learning and classic ML models.
Collaborate with data engineers to ingest, clean, and pre-process massive datasets.
Optimize model serving latency and infrastructure footprints in cloud environments.
Implement rigorous model monitoring and automated retraining scripts.
What You Should Bring
5+ years of professional software engineering experience with a heavy focus on machine learning.
Deep expertise in Python and frameworks like TensorFlow, PyTorch, and Scikit-Learn.
Strong experience with MLOps toolchains and deploying models on AWS (SageMaker, ECS).
Solid foundations in linear algebra, statistics, and algorithm design.
Strong ownership mindset with the ability to navigate ambiguous problems.
What Helps You Stand Out
Experience with real-time stream processing engines like Kafka or Flink.
Prior work with distributed training systems and GPU orchestration.
A history of publications or notable open-source contributions in the ML community.
Apply
Every application is reviewed by a member of the Intellan team. We evaluate fit from both sides so that when we make an introduction, it is the right one. please send resumes to hr@intellan.com