BlueGen.ai

Benefits:

• Working alongside extraordinary scientists and business professionals with proven track records

• Working in a dynamic environment: balancing market demands with science

• Working with our innovative enterprise customers

• Contributing to the introduction of state-of-the-art technology to an emerging market

• Focus on personal development, both professionally and individually

Education Requirements:

• Bachelor’s degree or equivalent

Experience Requirements:

• Focus on new business sales

• Prior sales experience gained within software or solution sales organizations

• Proven track record of achieving sales goals

Other Requirements:

• Proficient in Dutch and English

• You are proactive, collaborative, and inquisitive, with a genuine interest in data privacy, generative AI, and data innovation

• You have a start-up mentality with a can-do attitude

• You are pragmatic and flexible, and possess strong communication skills

Responsibilities:

• Achieving sales goals and targets within assigned industries

• Developing a sales strategy with a target prospect list, and sales plan

• Devising a regional strategy to leverage Bluegen.ai’s (future) partnerships

• Collaborating with the marketing team to develop a marketing plan to drive pipeline

• Taking a consultative approach with customers by understanding their current challenges and future strategies to position Bluegen.ai as a solution

Benefits:

• Working in a team with extraordinary scientists and business professionals with proven track records

• Working in a varied environment: balancing between the market requirements and science

• Working with our innovative enterprise customers

• Be part of bringing state-of-the-art technology to an emerging market

• Focus on your personal development, both professionally and individually

Experience Requirements:

• Relevant practical experience in Python and software development

• Experience in API development and management

• Strong knowledge of architecture design patterns

• Understanding of network and security principles

• Proficiency in Docker or similar containerization technologies

Other Requirements:

• Experience deploying applications in production environments

• Familiarity with machine learning libraries, preferably PyTorch

• Experience with complex enterprise environments

• Solid understanding of CI/CD tools and practices

• You are self-sufficient and an individual contributor

• You can adapt to our product vision and technology quickly

• You can bring innovation to the team and the product from a technical perspective

• You have a start-up and can-do mentality

Responsibilities:

• translating new and sometimes experimental technology into a software product that solves real-world problems

• working together with our AI Engineers implementing new algorithms for handling different data types

• building solutions for complex data workflows

• designing robust software architectures that can scale with real-life data

• maintaining our CI/CD pipeline

Benefits:

• Working in a team with extraordinary scientists and business professionals with proven track records

• Working in a varied environment: balancing between the market requirements and science

• Working with our innovative enterprise customers

• Be part of bringing state-of-the-art technology to an emerging market

• Focus on your personal development, both professionally and individually

Education Requirements:

• You have computer science and artificial intelligence knowledge at the MSc level

Experience Requirements:

• You have experience in machine learning and general programming, specifically Python

• Experience with machine learning libraries, preferably PyTorch

• Familiarity with deep generative models

Other Requirements:

• You are self-sufficient and an individual contributor

• You can adapt to our product vision and technology quickly

• You can bring innovation to the team and the product from a technical perspective

• You have a start-up and can-do mentality

• You are pragmatic and flexible, and a communicator

Responsibilities:

• translating new research into a product that solves real-world problems

• implementing new models

• designing data encoding schemes

• running experiments

• deploying optimised inference pipelines and packaging everything in a working project