AI​/ML Engineer - Remote​/Telecommute

Position: AI/ML Engineer - Remote / Telecommute
Job Description:

Requirements:

5+ years of hands‑on experience in applied machine learning, with a focus on regression, forecasting, or optimization.

Proven experience in production‑grade ML pipelines, from experimentation to deployment.

Strong grasp of data science concepts such as cross‑validation, quantile modeling, and model safeguard techniques.

Strong background in Python and data science libraries, with the ability to write clean, efficient, and production‑ready code.

Experience on Git and related workflows, code review processes, automated testing, and CI/CD pipelines.

Solid understanding of data lifecycle management, including time‑series feature engineering and retraining strategies.

Experience with ML model monitoring, versioning, and continuous retraining frameworks.

Familiarity with cloud ML ecosystems (Azure or AWS).

Experience with Azure ML, Cosmos

DB, Service Bus, and Kubernetes.

Experience with AWS Sage Maker, ECS Fargate, SQS/Event Bridge, and Document

DB.

Responsibilities:

Design, train, and validate machine learning models that improve process performance and stability in concrete batching operations.

Lead end‑to‑end model development, from data exploration and feature engineering to deployment and validation.

Define and implement retraining and validation strategies that ensure continuous performance improvement.

Propose data selection and quality control methods to improve training representativity.

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