Qualifications
What Sets You Apart:A degree in Computer Science, Data Science, Software Engineering, Electrical Engineering, Applied Mathematics, or a related discipline.A solid grasp of software engineering principles and data concepts, including data flows, data modeling, and basic schema design, with experience in SQL databases.Familiarity with data analytics and machine learning concepts, along with a keen interest in applying them to tackle real-world challenges.A passion for agentic systems and a desire to gain practical experience.Willingness to work within the .NET ecosystem and with Angular-based web applications.Previous exposure to AI/ML implementations using Python.Hands-on experience with Python, especially for data analysis or scripting tasks.A strong curiosity and drive to expand knowledge in industrial data analytics, AI, and agent-based or autonomous systems.Effective communication skills in English, both verbal and written.
About the job
As an AI Solutions Engineer, you will be integral to our team, tasked with designing, building, and refining data-driven solutions tailored for industrial and business applications. This position is perfect for a technically proficient engineer eager to advance into the realms of applied artificial intelligence and sophisticated analytics within an industrial framework.
Your role will involve close collaboration with seasoned engineers, data scientists, and key business stakeholders, allowing you to contribute to real-world production systems while honing your skills in AI and system design.
Key Responsibilities:
- Architect and develop data-centric applications that enhance industrial domains including logistics, production, planning, and finance.
- Establish data pipelines, data models, analytics, and agentic solutions that convert raw industrial data into actionable insights, streamlining business processes.
- Design and implement agentic or AI-enhanced solutions.
- Create and integrate machine learning components.
- Engage with stakeholders to pinpoint business needs and translate them into effective technical solutions.
- Work closely with end users to comprehend the operational context of the data and validate solutions in practical environments.
- Adhere to best practices in software engineering, data engineering, and AI system design within an industrial setting.
About keenfinity
At KEENFINITY, we stand as a global leader in providing innovative and professional security and communication solutions. With a workforce of over 4,200 employees across more than 50 countries, our mission is straightforward: we deliver more than just technology – we secure, connect, and enhance the moments that matter in life.Alongside our dedication to technology, we are equally committed to fostering a positive work environment. Grounded in values such as trust, appreciation, and accountability, we strive to collaboratively shape the future – with a bold, customer-focused approach and a strong spirit of teamwork.
