Mid/Senior AI Engineer

TensorOps Consulting Services Ltd; United States; Vor Ort; USD 120.000 - 190.000; Vollzeit

Benefits dieser Stelle

Remote Work

AWS/GCP Certifications

Global Projects

International Clients

Urban Sports Club

Bolt Credits

Team Events

Zusammenfassung

TensorOps is seeking a Mid/Senior ML Engineer to guide technical direction across client engagements and mentor a growing team of junior ML engineers. You will translate business needs into scalable AI solutions and take systems from prototype to production.

You'll work directly with clients, design, train, deploy, and monitor ML models (RAG, embeddings, GenAI) on cloud platforms and contribute to internal best practices while growing with a fast, remote-first team.

Qualifikationen

• 2+ years in ML/AI or 5+ years for Senior
• Hands-on Python production-quality code
• Experience deploying ML models on AWS/GCP/Azure

Aufgaben

• Design, build, and deploy production ML and LLM systems
• Own end-to-end technical delivery from prototyping to deployment
• Translate business needs into scoped, shippable solutions
• Mentor ML engineers through code reviews and guidance
• Shape internal tooling and best practices
• Represent TensorOps in client conversations and workshops

Kenntnisse

Python

ML design & deployment

RAG pipelines

LangChain

PyTorch

Cloud platforms

Tools

LangChain

Git

CI/CD for ML

Monitoring

Jobbeschreibung

About TensorOps

TensorOps is a boutique AI consultancy that bridges strategy and execution, we design and ship production-grade AI systems for enterprise clients, from Fortune 500 companies to fast-growing unicorns. Our work spans agentic AI, LLM fine-tuning, RAG systems, and ML-driven products, deployed on AWS, GCP, and Azure.

We've shipped AI systems impacting 200M+ end users daily, partnered with 11 unicorns and NASDAQ-listed companies (including Notion, ServiceNow, JFrog, Seeking Alpha, Armis, and GoCardless), and get 95% of validated ideas into production within two months. We're Google Cloud, AWS, and Cloudflare partners, and we're 100% remote by design.

About the role

We're hiring a Mid/Senior ML Engineer to contribute to technical direction across client engagements and mentor a growing team of junior ML engineers. You'll work directly with clients, taking AI systems from prototype to production-grade deployment.

In this role, you will:

• Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients
• Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration
• Work directly with client engineering and product teams to translate business needs into scoped, shippable technical solutions
• Mentor and support other ML engineers on the team — code reviews, technical guidance, and knowledge sharing
• Help shape internal best practices, tooling, and technical standards as the team grows
• Represent TensorOps technically in client conversations, workshops, and (optionally) at industry conferences

You’ll be part of a supportive, fast-growing team that values autonomy, open communication, and continuous learning.

Requirements

• 2+ years of professional experience in Machine Learning, AI Engineering, or a related role (Mid-level) / 5+ years for Senior
• Strong hands-on skills in Python, writing clean, efficient, well-documented, production-quality code
• Proven experience designing, training, optimizing, and deploying ML models independently (e.g., PyTorch, TensorFlow, Scikit-learn)
• Experience building GenAI & LLM systems: RAG pipelines, chatbot architectures, and applications using tools like LangChain
• Familiarity with MLOps & production ML practices: model versioning, monitoring, CI/CD for ML workflows
• Experience deploying and scaling ML systems on AWS, GCP, or Azure
• Strong performance optimization and debugging skills (diagnosing complex issues and improving system reliability and efficiency)
• Experience working with stakeholders or clients is a plus

What We Offer

• 100% Remote Work: no mandatory office days, work from wherever
• Funded certifications: fully paid AWS and GCP professional certifications
• Dynamic, High-Impact Projects: Work on cutting-edge ML and GenAI solutions across diverse industries
• International Clients: Collaborate with global organizations and solve real-world challenges at scale
• Urban Sports Club Membership: Supporting your physical and mental wellbeing
• Monthly Bolt Credits: For rides
• Company Events & Offsites: Regular team gatherings to connect, collaborate, and celebrate