[Hiring] General AI Specialist - PyTorch, MLflow, & Transformers @OneSeven Tech

Role 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

Qualifications

• Strong proficiency in PyTorch or TensorFlow/Keras
• Hands-on experience with the Hugging Face ecosystem (Transformers, Datasets, Accelerate)
• Expert knowledge of MLflow Tracking, Projects, and Models for full lifecycle management
• Expert-level Python (OOP, asynchronous programming)
• Advanced Git workflows including DVC
• Deep theoretical understanding of the Attention Mechanism, Gradient Descent, and Linear Algebra
• Proficiency with Docker and building/securing REST/gRPC APIs for model serving

Requirements

• Familiarity with RAG architectures and vector databases such as Pinecone, Milvus, or Weaviate
• Experience with MLflow Recipes for standardized production workflows and basic Kubernetes orchestration
• Experience with DeepSpeed, ONNX Runtime, or NVIDIA TensorRT
• Knowledge of distributed training (Ray, Horovod, or DDP)
• Hands-on experience with AWS SageMaker, GCP Vertex AI, or Azure ML

Benefits

• 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

What You Will Do

• Design and implement Deep Learning models and Transformers, using classical ML (Scikit-learn, XGBoost) for baseline comparisons
• Lead the implementation of reproducible ML environments using MLflow and Data Version Control (DVC)
• Build, profile, and secure high-performance APIs to serve models in production environments
• Work within 1-week sprints to move fast from research to delivery, ensuring robust and scalable AI solutions

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