Remote AI Engineer: Build Real-World AI Systems & Pipelines

aptendo; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

You will influence end-to-end AI product delivery, optimize models for real-time and batch workloads, and contribute to a remote-first culture with continuous learning.

Qualifications

• Strong hands-on AI/ML engineering experience.
• Cloud-native mindset.
• Strong problem-solving and communication skills.
• Nice to have: Edge AI, IoT, robotics, NLP/CV specialization, open-source contributions.
• Build real AI products, not PoCs.
• Work on large-scale enterprise AI platforms.
• Remote-first and flexible culture.
• Continuous learning budget and certifications.
• Competitive compensation and clear growth path.

Responsibilities

• Design, build and deploy machine learning and deep learning models
• Develop NLP, computer vision, recommender and predictive analytics pipelines
• Build and integrate generative AI and LLM-based services
• Deploy AI models on AWS, Azure or GCP in scalable production environments
• Build CI/CD and MLOps pipelines for continuous training, deployment and monitoring
• Optimize models for real-time, batch and edge processing
• Monitor production models and continuously improve performance
• Ensure ethical, explainable and responsible AI practices
• Python (PyTorch, TensorFlow, Scikit-Learn) and data tooling like Spark, Kafka, Databricks

Skills

AI/ML engineering

Problem-solving

Communication

Tools

Python

PyTorch

TensorFlow

Scikit-Learn

Spark

Kafka

Databricks

SQL

NoSQL

Job description

You will influence end-to-end AI product delivery, optimize models for real-time and batch workloads, and contribute to a remote-first culture with continuous learning.