We are seeking a high-caliber AI Specialist to build and scale advanced machine learning systems. The role involves developing state-of-the-art models using Deep Learning and Transformer architectures. The ideal candidate will have expertise in MLOps, Python, and Git workflows.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
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 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.
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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
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
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.
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