Machine Learning Ops Engineer (AI)

TL;DR

Machine Learning Ops Engineer (AI): Developing and deploying end-to-end AI solutions from model training to production with an accent on MLOps practices and CI/CD pipelines. Focus on integrating Computer Vision and NLP products into production environments and ensuring system scalability.

Location: Hybrid with headquarters in Turin-Milan, Italy

Company

hirify.global provides mission-critical technology systems and AI-powered insights for leading global businesses.

What you will do

• Design, develop, and implement end-to-end AI solutions from model creation and training to production deployment.
• Manage DevOps and MLOps operations for AI services using state-of-the-art best practices.
• Build and deploy robust CI/CD pipelines for software components.
• Develop cutting-edge products in the domains of Computer Vision and NLP.
• Provide work estimates and guide functional objectives for new features.

Requirements

• Degree in Computer Science, Computer Engineering, or a related field.
• 2+ years of programming experience in Python.
• Experience with ML/DL libraries such as PyTorch, TensorFlow, or scikit-learn.
• Proficiency in Linux environments and Docker.
• Strong knowledge of CI/CD best practices.
• English proficiency level B2 or above.

Nice to have

• Experience with SQL and NoSQL databases.
• Experience interacting with LLMs and using LangChain.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Knowledge of Kubernetes.
• Experience in creating and cleaning datasets.

Culture & Benefits

• Flexible, hybrid-friendly work environment.
• "Be Well" programs supporting financial, mental, physical, and social health.
• Access to professional certifications from Microsoft, Google, and Amazon.
• Personalized development goals and continuous feedback.
• Inclusive culture focusing on belonging and empathy.