Remote Machine Learning Engineer

Scopic Software; Lima Metropolitana; A distancia; PEN 281.718 - 563.436; Jornada completa

Descripción de la vacante

Scopic Software is seeking a Machine Learning Engineer for a remote, full-time contractor role. You will design, develop, and architect high‑performance AI/ML services and pipelines in a cloud environment, collaborating with a global team.

You will contribute to cutting‑edge R&D, fine‑tune models, and build scalable workflows for data preparation and model deployment across vision and language tasks, with emphasis on reliability and performance.

Formación

• 3+ years of hands-on Python experience.
• 4+ years in ML, DL, LLMs, or foundational models.
• AWS cloud experience for AI/ML pipelines.
• Data preparation, curation, and annotation workflows.
• Fine-tuning, training, testing, and deployment.
• Vision-based AI: labeling, object detection, segmentation.
• Strong problem-solving and attention to detail.
• Ability to work remotely with a global team.

Responsabilidades

• Design and architect AI/ML services and pipelines in cloud.
• Contribute to R&D including framework integration.
• Resolve production issues; own it end-to-end.
• Develop scalable, fault-tolerant, elegant solutions.

Conocimientos

Python

ML & DL

Cloud AWS

Data pipelines

Model fine-tuning

Vision AI

Team collaboration

Herramientas

NVIDIA Enterprise AI

SageMaker

Bedrock

Data Lakes

Descripción del empleo

Machine Learning Engineer – Remote (Full Time Contractor)

This full‑time, home‑based position offers the opportunity to work with a talented team of professionals from around the globe and to design, develop, and architect high‑performance AI/ML services and pipelines in a cloud‑based environment.

• Design, develop, and architect high‑performance AI/ML services and pipelines in a cloud‑based environment.
• Contribute to cutting‑edge R&D initiatives, including service integration with emerging frameworks and platforms.
• Assist with the technical resolution of issues on mission‑critical production systems, embracing the philosophy: "you build it, you own it, you run it."
• Think outside the box to devise solutions that scale, are fault‑tolerant, easy to grasp, and elegant.

• 3+ years of hands‑on experience with Python.
• 4+ years of hands‑on experience with machine learning, deep learning, large language models, and/or foundational models.
• Hands‑on experience with cloud‑based architectures/infrastructures (AWS), specifically related to AI/ML pipelines.
• Experience in building workflows for automated data preparation, curation, and annotation, including secure, scalable storage and retrieval for model training.
• Experience in fine‑tuning models, training, validating, testing, and deploying them in production settings.
• Experience in vision‑based AI, including automated data labeling, object detection, and image segmentation.

• Experience with NVIDIA Enterprise AI Solutions, AWS SageMaker, AWS Bedrock, AWS Clean Rooms, and Data Lakes.
• Experience in building and fine‑tuning various image, text, audio, and video classification models, such as shot/scene detection, captions, object labeling, and attention scoring.
• Experience with Media and Entertainment industry file formats and applications (IMF, Pro Tools, MXF, 3D, etc.).
• Excellent problem‑solving skills and attention to detail.
• Ability to work independently and as part of a remote, global team.
• Strong communication and interpersonal skills for effective collaboration.

Compensation is hourly and contractors are paid monthly via wire transfer. No PTO is included.

Scopic is an equal‑opportunity employer. We value diversity and do not discriminate on the basis of race, religion, color, marital status, national origin, gender, veteran status, sexual orientation, age, or disability status.