Project Brief 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. Project Brief 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 LATAMMust-Haves Machine Learning & Frameworks: Strong proficiency in PyTorch or Tensor Flow/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 Deep Speed, ONNX Runtime, or NVIDIA TensorRT, and knowledge of distributed training (Ray, Horovod, or DDP). Cloud Platforms: Hands-on experience with AWS Sage Maker, GCP Vertex AI,



or Azure ML. What You Will DoModel 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. Linked In Profile URL (Required). Git Hub 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 One Seven Tech Founded by James Sullivan, One Seven 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.

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📌 General AI Specialist - PyTorch, MLflow, & Transformers (Santa Fe)
🏢 OneSeven Tech (OST)
📍 Santa Fe