Artificial Intelligence Engineer

About the role

An AI Engineer designs, develops and implements artificial intelligence solutions that address specific business problems, working with machine learning models, natural language processing, computer vision and other AI technologies.

Key responsibilities

• Collaborate with cross-functional teams to design and develop machine learning models and algorithms that solve business challenges.
• Implement scalable AI products that meet user requirements and business objectives.
• Use cloud technologies (AWS, Azure, Google Cloud) to deploy machine learning models and AI solutions in production.
• Help integrate AI models into existing software systems and workflows.
• Deploy AI solutions in production following best practices for version control, architecture, monitoring and maintenance.
• Maintain documentation of models, algorithms and processes.
• Report regularly on project status, outcomes and insights to stakeholders.
• Stay up to date with emerging AI trends and technologies.

Required profile

• Degree in Computer Science, Information Technology, Data Science, Artificial Intelligence or a related field.
• At least 3 years of experience.
• Previous experience as an AI Engineer, Machine Learning Engineer or similar role.
• Experience developing and deploying machine learning models and AI systems.

Required skills

• Programming in Python or R.
• Machine learning frameworks such as TensorFlow, PyTorch and Scikit-learn.
• Natural language processing, computer vision or other AI techniques.
• Familiarity with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud).
• Preferred: MLOps, Docker, Kubernetes, REST APIs and microservices, and knowledge of generative AI, LLMs and prompt engineering.