
Machine Learning System Architect
2 days ago
About Us:
We are a tech-driven consulting firm that partners with clients to drive innovation and growth. Our mission is to be at the forefront of technological advancements in a collaborative and dynamic setting.
The Job:
As our senior backend developer with experience in machine learning and DevOps practices, you will play a critical role in shaping our organization's AI strategy and driving technological advancements. You will collaborate with a talented team of professionals, including full-stack developers, DevOps engineers, and architects.
Key Responsibilities:
- AI Solution Implementation: Design, develop, and implement backend solutions that leverage existing ML/AI technologies to address business problems and enhance product capabilities.
- Tech Forum Engagement: Actively contribute to the VNTRS Tech Forum by sharing ML/AI insights, setting technical standards, and participating in strategic planning.
- Project Leadership: Work closely with the Head of Tech to align AI initiatives with company objectives. Lead software development projects, integrating and utilizing existing ML/AI technologies.
- Cross-Functional Collaboration: Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows.
- Industry Representation: Represent VNTRS at industry events, showcasing our AI capabilities and fostering connections in the ML community.
Requirements:
- Professional Experience: Minimum 5 years of professional experience within software development.
- Linguistic Proficiency: Fluent in Swedish and English.
- Problem-Solving Ability: Excellent problem-solving skills.
- Technical Background: Strong technical background with some knowledge in machine learning, deep learning, and AI technologies.
- Backend Development Expertise: Strong proficiency in backend development, specifically in Python (Django).
- DevOps Expertise: Experience with DevOps practices.
- Database Management: Experience working with databases such as SQL, NoSQL or Vector DBs.
- Consulting Expertise: Previous experience in a technical consulting role.
- Big Data Knowledge: Familiarity with big data technologies.
- Cloud-Based ML Services: Familiarity with cloud-based ML services such as AWS, Azure or GCP.
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