Machine Learning Engineer - Ai (Remote)

Hire Feed; Lazio; Remoto; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Hire Feed cerca un Machine Learning Engineer per progettare, addestrare e distribuire modelli AI che guidino decisioni di business. Ruolo remoto con possibilità di lavoro globale, con collaborazione con team interfunzionali per integrare modelli in sistemi di produzione.

La posizione prevede sviluppo di pipeline ML scalabili, ottimizzazione delle prestazioni, garantendo qualità dei dati e governance. Si richiede padronanza di Python, TensorFlow/PyTorch e competenze cloud per deployment.

Competenze

• Padronanza di Python e framework ML (TensorFlow o PyTorch).
• Esperienza in preprocessing dati, ingegneria delle features e valutazione modelli.
• Conoscenza di cloud (AWS, GCP o Azure) per deployment ML.
• Conoscenza pratiche MLOps e CI/CD per deployment dei modelli.
• Buone capacità di problem solving in ambienti dinamici.

Mansioni

• Progettare, addestrare e distribuire modelli ML per problemi di business.
• Sviluppare pipeline ML scalabili per l'intero ciclo di vita del modello.
• Collaborare con data engineer e sviluppatori software per l'integrazione in produzione.
• Monitorare le prestazioni dei modelli e implementare miglioramenti.
• Garantire conformità a governance e sicurezza dei dati durante lo sviluppo.

Conoscenze

Python

TensorFlow

PyTorch

Data preprocessing

Feature engineering

Model evaluation

MLOps

CI/CD pipelines

Problem solving

Strumenti

AWS

GCP

Azure

Descrizione del lavoro

Role:

Machine Learning Engineer - AI (Remote) Location:

Remote (Work from Anywhere)

Legga la panoramica di questa opportunità per capire quali competenze sono richieste, incluse le soft skill pertinenti e la padronanza di pacchetti software.

Role Overview:

We are hiring for one of our clients, seeking a Machine Learning Engineer to design, build, and deploy AI models that drive business decisions. The role involves developing scalable machine learning pipelines and collaborating with cross-functional teams to integrate models into production systems. Responsibilities include optimizing model performance, ensuring data quality, and maintaining model governance.

Key Responsibilities:

• Design, train, and deploy machine learning models to solve complex business problems.
• Develop and maintain scalable ML pipelines for end-to-end model lifecycle management.
• Collaborate with data engineers and software developers to integrate models into production systems.
• Monitor model performance, troubleshoot issues, and implement improvements.
• Ensure compliance with data governance and security standards in model development.

Required Skills & Qualifications:

• Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Knowledge of cloud platforms (e.g., AWS, GCP, or Azure) for ML deployment.
• Familiarity with MLOps practices and CI/CD pipelines for model deployment.
• Strong problem-solving skills and ability to work in a fast-paced environment.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to cutting-edge AI solutions that enhance operational efficiency. The contract includes flexibility to work across time zones and access to advanced tools for model development.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

Per questa posizione sono disponibili opzioni di lavoro da remoto/a casa.

Machine Learning Engineer - AI (Remote) - Rome, Italy