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About the Role:
- Design, build, and deploy production ML and LLM-based systems for enterprise clients
- Own technical delivery end-to-end: architecture, prototyping, deployment, monitoring, and iteration
- Work directly with clients and mentor junior ML engineers
Requirements:
- 2+ years of professional experience in Machine Learning or AI Engineering
- Strong Python skills and proven experience deploying ML models independently
- Experience building GenAI & LLM systems using tools like LangChain and MLOps practices
What We Offer:
- 100% remote work with no mandatory office days
- Funded AWS and GCP professional certifications
- Dynamic, high-impact projects and international clients
TensorOps
TensorOps is a boutique AI consultancy that bridges strategy and execution, designing and shipping production-grade AI systems for enterprise clients. We are a 100% remote, fast-growing team that values autonomy, open communication, and continuous learning.