Machine Learning Engineer responsible for developing central SaaS products for Fortnox in Växjö. Collaborating within an agile team to innovate and enhance machine learning solutions.
About the role
- Senior AI ML Engineer building software products for digital businesses. Collaborating in a flexible workplace integrating client goals into product development.
Responsibilities
- Build breakthrough software products that power digital businesses
- Drive rapid revenue, market share, and customer growth for industry leaders
- Align with client goals from conceptual stages through to market launch
- Apply Agile development practices focusing on business outcomes
Requirements
- Strong knowledge of Python
- Experience in LLM Application Development (Dify, Autogen Studio or similar)
- Familiarity with frameworks such as LangChain, LlamaIndex, Klu.AI
- Proficient in Workflow & Agents
- Expertise in Prompt Engineering
- Experience with LLM Implementation and Integration
- Strong skills in API Development
- Understanding of AI Ethics
Benefits
- At 3Pillar, we offer a world of opportunity:
- Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach.
- You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams.
- We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best.
- Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries.
- We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer in FOX's Forward Deployed program. Building and monitoring production machine learning models within live systems while rotating across business units in the media industry.
Machine Learning Engineer developing robust algorithms and recommendation systems for Pluralsight, enhancing learner experiences and delivering content tailored to needs.
ML infra engineer tasked with building large - scale infrastructure for generative AI at Adobe. Involves extensive experience in deep learning, PyTorch, and cloud platforms.
Open Source Triage Lead managing GitHub repositories for Ultralytics, contributing to AI development and community support.
Senior Machine Learning Engineer developing predictive solutions for business challenges within healthcare. Leveraging GCP and Vertex AI to bridge data science and engineering.
Software Developer Specialist focusing on ML Infrastructure and Deployment at Verafin. Engaging with analytics teams to develop fraud detection products with DevOps and MLOps principles.
Junior AI/ML Engineer supporting data preprocessing and model evaluation at Node.Digital. Collaborate on AI/Machine Learning efforts with government and commercial clients.
Machine Learning Engineer optimizing multimodal embedding models for AI - driven video analysis at Twelve Labs. Collaborating with global teams to enhance production pipelines and model performance.
Machine Learning Ops Engineer deploying and optimizing ML models at Affinity Water. Collaborating with teams to enhance the reliability of analytics solutions.