Enhancing the engineering team's productivity through the strategic use of AI, driving the integration of AI into product development, optimizing internal engineering processes, and enhancing product capabilities.
Requirements
- 5+ years of experience in AI, machine learning, or data science roles.
- Experience in building and maintaining MLOps pipelines and working with cloud computing platforms (e.g., AWS, Azure, GCP).
- Proficiency in programming languages such as Python, R, or Java.
- Deep understanding of machine learning, deep learning, and other AI techniques.
- Experience with data engineering tools and frameworks.
- Strong knowledge of cloud computing platforms and MLOps practices.
Responsibilities
- Lead the integration of AI technologies into product development and internal engineering processes.
- Develop and prototype new product concepts leveraging AI and data science.
- Evaluate and integrate emerging AI technologies to enhance product capabilities.
- Build and maintain robust MLOps pipelines for scalable and reliable AI solutions.
- Collaborate with cross-functional teams to translate data insights into business value.
- Mentor and lead a team of data scientists and product developers.
Other
- Define and align product roadmaps with customer needs and market trends.
- Proven track record of developing and launching successful data-driven products, ideally within a SaaS or enterprise software environment.
- Familiarity with ERP systems and the discrete manufacturing industry is preferred.
- Experience in leading and mentoring teams of data scientists and product developers.
- This position can be based at any of our global SYSPRO hubs.
