ALLEGION - Artificial Intelligence Engineer - Machine Learning

Job Description Summary

Artificial Intelligence Supervisor will lead a team of Data Scientists and AI Engineers, driving the development and implementation of AI solutions and data science projects.

This role requires strong technical expertise with full stack development skills in Python and React, combined with exceptional leadership abilities.

The ideal candidate is passionate about team building, developing talent, and fostering innovation within our Global Data & Artificial Intelligence organization.

Job Description

- Experience in a Senior-level role mentoring and guiding either Software Engineers, Data Scientists and AI Engineers.

- Strong passion for team building, talent development, and creating collaborative environments.

- Experience designing technical solutions and establishing project plans to accomplish technical plans.

- Outstanding communication skills with technical and non-technical stakeholders.

Technical Leadership

- Experience leading teams delivering end-to-end applications.

- Hands-on experience building solutions with generative AI technologies.

Required Technical Skills

- Expert-level Python for data science and web development.

- Strong React and modern JavaScript experience.

- RESTful API development and web services.

- Database technologies and SQL programming.

- Docker containerization and deployment practices.

AI & Cloud Platforms

- Generative AI implementation and prompt engineering.

- CI/CD pipelines and DevOps for AI/ML deployment.

- Big data technologies (Azure Synapse, Spark, Databricks).

Data Science & Analytics

- Data science libraries (pandas, NumPy, scikit-learn, TensorFlow/PyTorch).

- Business experiments design and hypothesis testing.

- Data visualization (Power BI preferred).

Major Responsibilities

- Lead and mentor Data Scientists and AI Engineers.

- Act as a technical leader, developing.

- Conduct performance reviews and create development plans.

- Foster innovation and technical excellence culture.

- Recruit and onboard team members.

Technical Strategy & Delivery

- Oversee end-to-end AI application development.

- Ensure integration between data science models and production systems.

- Guide generative AI implementation and best practices.

Collaboration & Project Management :

- Collaborate with business stakeholders and cross-functional teams.

- Oversee multiple concurrent projects from concept to production.

- Implement agile methodologies for diverse project types.

Innovation & Technology :

- Guide experimentation with new technologies.

Education : Bachelor's in Computer Science, Data Science, or related STEM field required.