About GPC Global Technology Center
Established in 1928, Genuine Parts Company is a leading global service provider of automotive and industrial replacement parts and value-added solutions. Our Automotive Parts Group operates across the U.S., Canada, Mexico, Australasia, France, the U.K., Ireland, Germany, Poland, the Netherlands, Belgium, Spain and Portugal, while our Industrial Parts Group serves customers in the U.S., Canada, Mexico and Australasia. We keep the world moving with a vast network of over 10,700 locations spanning 17 countries supported by more than 63,000 teammates. Learn more at genpt.com.
Position Purpose
We are seeking a highly skilled Senior Python Engineer to join our ML/AI team, focusing on the exploration and implementation of Machine Learning, Generative AI, and other innovative technologies. This role will be instrumental in building interfaces that expose the use of AI technologies.
The ideal candidate for this role is a seasoned full-stack software engineer with a passion for innovation and a track record of integrating AI into real-world applications. This candidate brings extensive experience in building scalable, event-driven systems over the web, leveraging classical AI mechanisms such as using transformers, invoking them for inferences, and returning data formatted back to clients. Proficiency in cloud platforms, particularly Google Cloud Platform (GCP), is essential. Additionally, they should be familiar with dynamic real-time APIs, using cloud functions, Kubernetes, Cloud Run, or similar technologies.
With a collaborative mindset, this individual thrives in a team environment, working closely with a lead engineer, product owner, and data scientist to deliver high-quality solutions. Proficiency in Python for back-end development is essential, ensuring seamless integration across the stack. Excellent communication skills and a knack for problem-solving effectively contribute to the team's success by translating complex technical concepts into actionable strategies.
Responsibilities
Independent Execution:
- Demonstrate the ability to execute tasks and projects independently, driving them from inception to completion with minimal supervision.
- Exhibit self-reliance and resourcefulness in problem-solving, leveraging technical expertise to overcome challenges effectively.
- Take ownership of assigned responsibilities and deliverables, ensuring they are completed accurately and on schedule.
- Design and whiteboard solutions, collaborating with the team to develop and implement innovative approaches.
Cloud Solutions Development:
- Take an active role in the design and implementation of Cloud solutions, particularly on Google Cloud Platform (GCP) and Vertex AI, for assigned projects or components within the team.
- Guide the full lifecycle of development, from initial design to production deployment, ensuring quality and efficiency.
- Design and whiteboard solutions, collaborating with the team to develop and implement innovative approaches.
- Experience with dynamic event driven APIs, utilizing technologies such as Cloud Functions, Kubernetes, Cloud Run, or similar platforms.
Continuous Learning and Improvement:
- Stay abreast of emerging technologies and industry trends to evolve the team's capabilities continually.
- Foster a culture of curiosity and learning, encouraging experimentation and growth.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Minimum of 4-5 years of experience in back-end software development, with a strong focus on Python, Cloud solutions and development-to-production lifecycle.
- Proficient in a Cloud Platform (GCP is a plus).
- Hands-on experience in building/deploying resilient event driven solutions.
- Passion for learning and applying new technologies, with the ability to inspire and drive innovation within the team.
- Excellent communication, collaboration, and problem-solving skills.
- Experience with AI is a plus.
- Experience with deploying and supporting Machine Learning/Large Language Models a plus.
Location
Krakow/Hybrid
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GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.
