Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
We are seeking a high-caliber AI Specialist to build and scale advanced machine learning systems. You will be responsible for developing state-of-the-art models using Deep Learning and Transformer architectures while ensuring absolute reproducibility through expert-level MLOps. This role is at the intersection of rigorous mathematics and elite engineering, focusing on creating elegant solutions to complex AI problems.
Location: Remote LATAM
Must-Haves
Machine Learning & Frameworks: Strong proficiency in PyTorch or TensorFlow/Keras and hands-on experience with the Hugging Face ecosystem (Transformers, Datasets, Accelerate).
MLflow Mastery: Expert knowledge of MLflow Tracking, Projects, and Models for full lifecycle management.
Engineering Excellence: Expert-level Python (OOP, asynchronous programming) and advanced Git workflows including DVC.
Core Mathematics: Deep theoretical understanding of the Attention Mechanism, Gradient Descent, and Linear Algebra.
Deployment & Tooling: Proficiency with Docker and building/securing REST/gRPC APIs for model serving.
Nice to Have
Generative AI: Familiarity with RAG architectures and vector databases such as Pinecone, Milvus, or Weaviate.
Advanced MLOps: Experience with MLflow Recipes for standardized production workflows and basic Kubernetes orchestration.
Efficiency & Scale: Experience with DeepSpeed, ONNX Runtime, or NVIDIA TensorRT, and knowledge of distributed training (Ray, Horovod, or DDP).
Cloud Platforms: Hands-on experience with AWS SageMaker, GCP Vertex AI, or Azure ML.
What You Will Do
Model Development: Design and implement Deep Learning models and Transformers, using classical ML (Scikit-learn, XGBoost) for baseline comparisons.
Standardize Workflows: Lead the implementation of reproducible ML environments using MLflow and Data Version Control (DVC).
Production Engineering: Build, profile, and secure high-performance APIs to serve models in production environments.
Cross-Functional Delivery: Work within 1-week sprints to move fast from research to delivery, ensuring robust and scalable AI solutions.
Why This Could Be Your Next Big Move
Work on Cutting-Edge Tech at Scale - This is a unique opportunity to join an elite digital product agency where you will apply deep mathematical concepts to real-world products. You will have high influence over the AI architecture and MLOps standards, working in a fast-paced environment that prioritizes technical excellence and elegant engineering. If you are looking to bridge the gap between research-level AI and production-grade delivery, this is the place to do it.
Benefits & Compensation
Fully Remote - work from anywhere in Latin America.
Long-term contract - starting with a 6-month contract, then full-time.
Paid PTO - details provided per role.
Referral Program - earn a bonus for referring talent that gets hired.
To Apply
Please send your resume in English.
LinkedIn Profile URL (Required).
GitHub Repository - mandatory for this engineering-heavy AI role (Required).
Cover Letter (Optional but encouraged) - tell us about the most complex Attention-based model you have deployed to production.
About OneSeven Tech
Founded by James Sullivan, OneSeven Tech is a premier digital product agency serving startups and enterprises. Our clients have collectively raised over $100M in VC, and our enterprise partners include NASDAQ-listed companies. We work fully remote, move fast with 1-week sprints, and focus on elegant solutions to complex problems.
Key Skills
Ranked by relevanceReady to apply?
Join OneSeven Tech (OST) and take your career to the next level!
Application takes less than 5 minutes

