Job Specifications
Job Type
Full-time
Description
Propio is on a mission to make communication accessible to everyone. As a leader in real-time interpretation and multilingual language services, we connect people with the information they need across language, culture, and modality. We’re committed to building AI-powered tools to enhance interpreter workflows, automate multilingual insights, and scale communication quality across industries.
The Machine Learning Engineer will build, optimize, and deploy AI/ML models at scale to power Propio's language intelligence platform, with a focus on agentic AI workflows and conversational analytics. This role bridges research and production, ensuring models are robust, efficient, and seamlessly integrated into live systems that support both traditional ML tasks and complex agentic reasoning.
Key Responsibilities
Develop and deploy production-grade ML models for translation, speech, interpretation, and agentic AI workflows
Build and optimize inference pipelines for agentic systems that handle multi-step reasoning, tool integration, and domain-specific problem-solving (e.g., software engineering support, conversational analytics)
Design scalable training and inference pipelines capable of supporting both traditional supervised learning tasks and LLM-based agentic systems
Implement model monitoring, evaluation, and continuous improvement workflows across diverse model types
Collaborate with data engineering to ensure clean, structured, and compliant data for both traditional and agentic AI training
Partner with product and DevOps teams to integrate ML and agentic services into Propio's infrastructure
Optimize models for latency, cost, and accuracy in real-time applications, including streaming speech and low-latency interpretation
Work with Applied AI Engineering to transition agentic prototypes into production systems
Requirements
Qualifications:
Bachelor's or Master's in Computer Science, AI, or related field
3+ years of experience in ML Engineer, DevOps, or ML Engineering
Proficiency in Python, ML frameworks, and MLOps tools (MLflow, Kubeflow, SageMaker)
Strong experience in software engineering skills (CI/CD, version control, testing, debugging production systems)
Experience with cloud platforms (AWS, GCP, or Azure)
Experience with LLM APIs, prompt engineering, and agentic systems is a plus
About the Company
Propio's mission is to innovate and connect people anywhere, anytime. We believe our technology-forward commitment allows us to offer a full suite of over-the-phone, video remote, in-person interpreting, translation and localization services. Our services provide Limited English Proficient speakers access to basic life services (hospital, legal, education, etc.) through our clients. Finally, Propio engages interpreters who are dedicated, qualified, and whose code of ethics are the foundation for every encounter. Our interpre...
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