Senior Machine Learning Engineer (Personalization)

Proudly voted a Great Place to Work®, we are a dynamic startup in the SaaS space that revolutionizes the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.

We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we’re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!

Meet the team!

Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.

As a Senior Machine Learning (AI) Engineer, you will be responsible for designing, developing, and deploying advanced machine learning solutions across various domains, including Personalization, Recommender engines, and LLMs, which integrate with data pipelines and other data sources. This role involves end-to-end project ownership, from data preprocessing to the creation of service APIs, and offers opportunities to work on cutting-edge AI technologies.

Help us shape the future of communication by:

• Providing guidance to junior and med-level team members, sharing knowledge, and offering advice on machine learning and software engineering practices and approaches.

• Establishing and maintaining robust communication channels with other cross-functional teams to facilitate the integration of machine learning solutions into other Unifonic products.

• Developing and optimizing reliable and scalable personalization and recommendation machine learning models and creating/exposing service APIs using frameworks such as Flask, FastAPIs, or other relevant frameworks.

• Collecting, analyzing, and creating the required scalable and reliable data pipelines from extensive datasets in real-time, near-real-time, or batch processing modes.

• Implementing proof of concepts and prototypes to demonstrate the potential for new AI use cases and innovations.

• Reviewing the code of other team members and suggesting improvements to ensure the SOLID principles and clean architecture.

• Assisting in the project documentation and demos.

• Keeping current with the latest machine learning research papers and AI trends, such as Generative AI.