AI/Machine Learning Engineer

Actively Reviewing the Applications

CARTOL

India Full-Time

Posted 2 days ago • Apply by June 26, 2026

Job Description

Primary title: Senior Machine Learning Engineer

Operating in the AI-driven SaaS / Enterprise ML sector, this remote role develops production-grade machine learning systems that power analytics, recommendation, and intelligent automation for U.S. customers. You will work end-to-end on model development, deployment, and observability to deliver scalable, low-latency ML services.

Role & Responsibilities

Design, implement, and productionize ML models and pipelines for supervised and unsupervised tasks, ensuring reproducible training and predictable inference behavior.
Build and maintain model-serving infrastructures (REST/gRPC) with containerization to meet latency, throughput, and cost targets in cloud environments.
Develop CI/CD, automated retraining, canary/A-B rollout strategies, and monitoring for model performance, drift detection, and data quality.
Optimize model architecture and inference (quantization, batching, sharding) to achieve operational SLAs and efficient resource utilization.
Collaborate closely with Data Scientists, Product, and Platform teams to translate ML prototypes into reliable microservices and data pipelines.
Document architectures, establish engineering best practices for reproducibility, observability, and security, and mentor junior engineers.

Skills & Qualifications

Must-Have
Python
PyTorch
TensorFlow
scikit-learn
SQL
Docker
AWS
MLOps
Preferred
Hugging Face Transformers
Kubernetes
MLflow

Benefits & Culture Highlights

Fully remote U.S. role with flexible schedules and asynchronous collaboration.
Fast-paced, product-focused engineering culture that values ownership, measurable impact, and continuous learning.
Competitive compensation, professional development support, and opportunities to influence ML platform design.

Skills: ml,docker,aws,pytorch,tensorflow,machine learning,python,scikit-learn,sql