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JobbSafariLediga jobbMachine Learning Engineer within Advisory and Analytics | SEB

Machine Learning Engineer within Advisory and Analytics | SEB

SEB
Solna

Ansök senast: 2025-01-30
Publicerad: 2024-11-15

Ansökningsperioden har avslutats

Beskrivning

SEB is more than just a bank with a technology function. We are a progressive tech company powered by innovation and fueled by collaboration. From Java to AI and everything in between, we offer you an impressive tech stack and several technology paths. Together we're innovating for a sustainable society and building the tech arena of the future, a welcoming space for everyone. Are you looking for a meaningful challenge and an opportunity to grow? If so, you'll be interested in this opportunity!

About us

Join our vibrant Data Analytics ART team, which spans Stockholm and Vilnius and works within Google Cloud. We focus on gathering and providing datasets to support customer insights and enhance relationships and experiences. With your expertise, we can unlock even greater possibilities.

Your role:

As a member of the Data Analytics ART team, you will:
• Develop machine learning solutions that drive customer insights and innovation.
• Utilize a diverse tech stack, including Git, Kafka, RESTful APIs, BigQuery, and Vertex AI.
• Apply best practices for continuous integration to manage GCP-deployed products.
• Design innovative technical solutions while engaging in workshops, hackathons, and tech guilds.

Required Skills

Must-have skills:
• A background in engineering, computer or data science, or equivalent practical experience in machine learning or data analytics.
• Several years of experience in designing, implementing, and deploying ML models using GCP services like Vertex AI or BigQuery ML.
• Proficiency in Python and bash scripting for automating workflows.
• Proven experience in designing and developing scalable REST APIs for machine learning or data analytics applications.
• Familiarity with Terraform, Docker, and SQL for infrastructure and data management.
• Experience with CI/CD tools such as GitHub Actions or GitLab pipelines.
• Hands-on experience working in Linux environments.

Nice-to-have Skills
• Proficiency in test-driven development and creating a continuous testing platform.
• Experience with PyTorch or TensorFlow for developing deep learning models.
• Familiarity with IT security principles, particularly in the context of ML pipelines and data storage.

If you don't meet every requirement listed but are excited about this role, we encourage you to apply.

Personal Attributes
• Self-driven and enjoys tackling varied technical challenges.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Innovative, curious, and open to starting from scratch.
• A growth mindset, eager to learn and adapt in a rapidly changing technical landscape.

What we offer:
• Extensive training and learning opportunities.
• Access to SEB staff banking and exclusive benefits.
• A prestigious team with experienced colleagues who value cooperation and openness.
• Opportunity to share knowledge by pair programming, demos, etc.
• A workplace where we care about the work-life balance.
• An innovative company at the forefront of technology
• Hybrid Workplace Setup
• Extensive training and learning opportunities.

Our fundamental belief is that inclusion and diversity are crucial for our future success. We strive to have an inclusive, value-driven culture where employees feel valued, respected, and involved irrespective of who they are, what they believe in, or where they come from.

Welcome with your application.

Since we select candidates continuously, feel free to send in your application already today but not later than the 30th of January. If you have questions about the position, please contact Rasmus Hallberg, Talent Acquisition Partner at Rasmus.hallberg@seb.se.

Apply for this job

Ansök till tjänsten

Machine Learning Engineer within Advisory and Analytics | SEB

Ansökningsperioden har avslutats
Denna arbetsplats har annonserats på SEB-tjänsten den 2024-11-15 och publicerades av SEB.
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