Machine Learning System Architect

2 days ago


Stockholm, Stockholm, Sweden Vntrs Consulting AB Full time

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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