Senior Software Developer working on ML Infrastructure and Deployment at Verafin. Helping develop cutting - edge fraud detection tools alongside analytics teams using AWS and Terraform.
About the role
- ML Engineer responsible for optimizing model inference and managing deployment for AdTech solutions. Collaborating with product team to enhance LLM models in a hybrid environment.
Responsibilities
- Optimize model inference for performance and cost, using techniques like quantization and LoRA
- Manage the end-to-end deployment lifecycle of models into a production environment
- Take projects from a prototype (e.g., a Jupyter notebook) to a fully integrated, production-grade service
- Collaborate with software developers and product managers to define requirements and implement solutions
Requirements
- Proven experience in Python and its core ML ecosystems
- Hands-on experience in deploying, fine-tuning, and inferencing LLMs or other deep learning models in a production setting
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)
- Ability to work independently and manage the full lifecycle of a machine learning service
Benefits
- health insurance
- fully covered 10 working days of sick leave per year
- 5 additional day-offs per year
- English and other languages compensation
- quartile and annual bonuses
- corporate events
- gifts
- snacks in worldwide working spaces
- breakfasts & lunches in offices
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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