Machine Learning Engineer

United Language Group; Borghetto Lodigiano; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading language services company in Italy is seeking a Machine Learning Engineer to develop and deploy AI/ML models for their language intelligence platform. The ideal candidate has strong experience in Python and ML frameworks, along with cloud platform knowledge. This role emphasizes the integration of ML services into company infrastructure and requires a solid foundation in software engineering.

Competenze

• 3+ years of experience in ML Engineer, DevOps, or ML Engineering.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Strong experience in CI/CD, version control, testing, and debugging production systems.

Mansioni

• Develop and deploy production-grade ML models for translation and speech tasks.
• Design scalable training and inference pipelines for various systems.
• Collaborate with data engineering for clean and compliant training data.

Conoscenze

Proficiency in Python

Experience with ML frameworks

Knowledge of MLOps tools

Strong software engineering skills

Experience with LLM APIs

Formazione

Bachelor's or Master's in Computer Science, AI, or related field

Strumenti

MLflow

Kubeflow

SageMaker

Descrizione del lavoro

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.

Machine Learning Engineer

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.

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

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