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Senior Machine Learning Engineer (Swedish Speaker)

DatatonicStockholm
On-site Full-time

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Experience Level

Senior

Qualifications

Your QualificationsTo thrive in this position, you will possess strong foundational knowledge in machine learning and data science. You should be adept with the appropriate tools and methodologies for various ML use cases and have a solid grasp of model optimization and deployment strategies. Additionally, exceptional communication and consulting skills are essential to effectively meet business needs and deliver innovative AI and cloud-based solutions.

About the job

Join Us as a Senior Machine Learning Engineer!

Be a Part of AI & Data Transformation

At Datatonic, we proudly serve as Google Cloud's premier partner in AI, spearheading transformative changes for leading enterprises. Our dedication to pushing the technological envelope is evident through our expertise in machine learning, data engineering, and analytics on the Google Cloud Platform. Collaborating with us empowers clients to future-proof their operations, glean actionable insights, and maintain a competitive edge in an ever-evolving landscape.

Your Role and Responsibilities

As a Senior Machine Learning Engineer, you will excel in crafting elegant code in Python and take immense pride in your deliverables. You will champion high-quality engineering practices and best practices in both production software and rapid prototyping. While this role is hands-on, we seek candidates eager to lead projects and engage actively in client discussions. You will build trusted relationships, creatively apply machine learning to solve real-world challenges, scope projects, and ensure seamless delivery.

Key Responsibilities

  • Requirements Translation: Analyze ambiguous requirements to develop models that tackle real-life challenges.

  • Data Science Expertise: Execute ML experiments using relevant programming languages and machine learning libraries.

  • Generative AI: Harness generative AI to create groundbreaking solutions.

  • Optimization: Enhance machine learning solutions for optimal performance and scalability.

  • Custom Implementation: Develop tailored machine learning code to address specific requirements.

  • Data Engineering: Facilitate efficient data flow between databases and backend systems.

  • MLOps: Automate ML workflows, emphasizing testing and deployment practices.

About Datatonic

About DatatonicDatatonic is recognized as a premier partner of Google Cloud in AI, dedicated to driving transformative growth for top-tier businesses. Our commitment to pushing the boundaries of technology, combined with our expertise in machine learning, data engineering, and analytics, positions us uniquely to help clients realize their full potential in the data-driven landscape.

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