Machine Learning Engineer
Yuno👥 201 - 500 employees🏢 Financial Services
As a Machine Learning Engineer, you will build and scale the infrastructure for deploying machine learning models, focusing on MLOps, automation, and real-time data integration.
Machine Learning Engineer seeking new digital challenges | SEB, Vilnius
🕒 11 days ago
Machine LearningData AnalyticsGCPVertex AI
📜 Description
- 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.
🛠️ Requirements
- 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.
✨ Benefits
- Agile and modern ways of working
- A flat hierarchy and openness to share ideas, opinions and points of views
- Extensive training and learning opportunities
- Work-life balance
Full job description
Do you want to work on developing digital services for the future and challenge the traditional ways banks operate?
With technology as our driving force, we provide world-class services to SEB group customers and business divisions in 20 sites worldwide. With us, you'll be part of a dedicated team of over 2800 employees who constantly work towards improving business development and growth. Do you want to work at the interface between ground-breaking technology and a world of financial flows? Welcome to SEB Global Services!
About the 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, and design innovative technical solutions while engaging in workshops, hackathons, and tech guilds.
To thrive in this role, we believe you have:
- 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.
What we offer:
- Agile and modern ways of working
- A flat hierarchy and openness to share ideas, opinions and points of views
- Extensive training and learning opportunities
- Work-life balance
- Mobility within a large global company
Similar jobs
Search more Machine Learning Engineer jobs
Machine Learning Engineer
Waveapps👥 201 - 500 employees🏢 Computer Software
As a Machine Learning Engineer, you will design, develop, and deploy AI and ML models, ensuring their efficiency and integration into organizational goals.
Machine Learning Engineer
Plenful👥 51 - 200 employees🏢 Hospital & Health Care
Design, build, and deploy production-grade machine learning systems to automate healthcare workflows and enhance operational efficiency at Plenful.
Machine Learning Engineer
Sift👥 201 - 500 employees🏢 Computer & Network Security
As a Machine Learning Engineer, you will develop and deploy scalable machine learning models, optimize systems for low-latency performance, and collaborate across teams to enhance fraud detection capabilities.
Senior Machine Learning Engineer, Vehicle Interaction & Behavior Policy ML
Waymo👥 1001 - 5000 employees🏢 Internet
Develop and release robust learned driving policies for autonomous navigation systems, bridging perception and planning in a hybrid role within the Special Vehicle Compliance team.