General AI Specialist - PyTorch, MLflow, & Transformers at OneSeven Tech at OneSeven Tech

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.

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 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 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)

About OneSeven Tech

Established by James Sullivan with its headquarters in Miami, OneSeven Tech operates as a premier digital product and AI transformation agency with a decade-long track record. We partner exclusively with non-technical, mid-market organizations—spanning sectors from pediatric healthcare to legal and real estate—to spearhead internal AI evolution.

Our core capabilities include AI strategy execution, fractional Chief AI Officer leadership, staff augmentation, and fully managed engineering workstreams. Moving beyond traditional consulting, we deeply embed within firms to build and ship high-impact solutions. Born in New York City and now headquartered in Miami, we are now a remote-first organization supported by an Argentine back office and a diverse US-based client portfolio.