[Hiring] General AI Specialist @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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• 🌎 Fully Remote — work from anywhere in Latin America
• 📄 Long-term contract — starting with a 3-month contract, then full-time
• 🏖️ Paid PTO
• 🤝 Referral Program — earn a bonus for referring talent that gets hired

To Apply

Please send your resume in English. Include the following depending on your role:

• 🔗 LinkedIn Profile URL (always required)
• 💻 GitHub Repository — for engineering roles (required)
• 📜 Certifications — if applicable (e.g. AWS, Azure, Epic)
• ✉️ Cover Letter — tell us why you're excited about this specific role (optional but encouraged)