Benefits:

• Competitive salary based on your experience

• You may work at our office (Luxembourg, Romania, France/Paris), or even from home

• Full coverage of operational costs

• Full-time employment

Experience Requirements:

• At least 2 years experience building modern front-end applications using frameworks like Laravel, Symphony

• Experience building modern front-end applications using Vue.js or similar Single-Page Application frameworks

Other Requirements:

• An advanced grasp of JavaScript, HTML, CSS, PHP, MySQL

• Strong knowledge of building APIs

• The ability to promptly transform a set of functional/UX requirements into a working product

• Experience working with distributed source control and a dynamic team that responds to change

• The ability to build a large front end architecture that scales well

Responsibilities:

• Front-End development and back end development in on our main application

• Work closely with small, nimble, cross-functional team to deliver the product according to the roadmap

• Architect a codebase that is reusable and can evolve with our product

Benefits:

• Competitive salary based on your experience

• You may work at our office (Luxembourg, Romania, France/Paris), or even from home

• Full coverage of operational costs

• Full-time employment

Education Requirements:

• Bachelor or Master Degree in Computer Science, Mathematics, Statistics, Artificial Intelligence, Data Science, Machine Learning or related fields required

• Graduated AI, Data Science, ML, NLP, Statistics courses are considered to be a plus

Experience Requirements:

• Experience with Machine Learning and NLP, and with developing production ML and / or NLP systems

Other Requirements:

• Proficiency with the Python programming language (minimum 4 years)

• Proficiency with Python and basic libraries for machine learning and data manipulation such as scikit-learn and pandas

• Proficiency with NLP tools and libraries such as NLTK, spaCy, fastText

• Proficiency with SQL

Responsibilities:

• Using ML and NLP techniques to develop new application components or to improve the existing ones

• Integrate the developed application features with the rest of the application

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress

• Managing available resources such as hardware, data, and personnel so that deadlines are met

Benefits:

• Competitive compensation

• Medical, Vision and Dental coverage

• Flexible work environment and time-off policy

• 401k

• Company events

Experience Requirements:

• 5-7 years+ in a similar role within a B2B SaaS company.

• Proven experience working with larger enterprise customers, including a track record of attaining and exceeding targets

• Interest in generative AI for knowledge workers at Enterprise scale

• Proficiency with tooling such as CRM software, Slack, Zendesk, Metabase, Glean

• Excellent communication skills, both written and verbal, with the ability to effectively interact with customers and internal stakeholders

Other Requirements:

• Familiarity with Value Selling and ability to do deep discovery with customers

• Demonstrated project management experience, including planning, execution, and stakeholder management

• Detail-oriented mindset with a focus on continuous improvement and operational excellence. Curiosity and grit.

• Live into our company values: Make it Better, Make it Together, Make it Customer Driven, and Make it Happen

• Ability to travel periodically and be in the office regularly

Responsibilities:

• Relationship Management

• Onboarding and Adoption

• Account Growth, Expansion, and Risk

• Performance Tracking

Benefits:

• Paid Parental Time Off

• Advanced Degrees

• Continuous Education

• Relax and recharge

• Health coverage

Experience Requirements:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Responsibilities:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Benefits:

• Flexible hours

• Unlimited PTO

• Medical insurance

• Great culture

• Career growth

Experience Requirements:

• 10 – 12 Years (Relevant combination of Education & Experience) selling products to Financial Institutions (Banks/Credit Union) of $500 million to $5 Billion in asset size

Other Requirements:

• Unleash Agility

• Customer-Centric Mindset

• Collaboration in Your DNA

• Innovate, Iterate, Influence

• Customer Journey Architect

• Fintech Sherpa

• Technology Proficiency

• Networking Skills

• Sales Forecasting

• Budgeting and Resource Management

• Proven experience as a Sales Manager in the Fintech industry or a similar role.

• In-depth knowledge of Fintech products and services.

• Strong leadership, team management, and mentoring skills.

• Excellent communication and interpersonal abilities.

• Analytical thinking and problem-solving skills.

• Sales forecasting and budgeting expertise.

• Familiarity with industry regulations and compliance.

• Results-driven and goal-oriented.

• Ability to adapt to a fast-paced and dynamic Fintech environment.

Responsibilities:

• Develop and implement sales strategies to achieve and exceed revenue targets.

• Identify and pursue new business opportunities, generating and converting leads into customers.

• Maintain a deep understanding of our Fintech products and services, effectively communicating their value propositions to clients.

• Prepare and present sales forecasts, performance reports, and strategies to senior management.

• Stay updated on industry trends, market conditions, and competitor activities to identify opportunities and threats. Cultivate and maintain strong relationships with key clients and partners. Ensure the sales team complies with industry regulations and company policies. Collaborate with customer success and support teams to ensure exceptional client satisfaction and retention. Manage the sales budget, allocating resources efficiently. Provide ongoing training and development opportunities for the sales team to enhance their performance. Partner closely with product development teams: Develop in depth understanding of our Products and stay up to date with the developments. Effectively communicate product features and benefits to clients. At the same time analyze complex situation and provide valuable insights and recommendation based on your strong product knowledge

Benefits:

• Entrepreneurial and inclusive culture

• Excellent health coverage

• Four weeks paid vacation

• Catered lunches twice a week over machine learning talks

• Opportunities to collaborate with faculty at the Vector Institute

Education Requirements:

• BSc+ in Computer Science, Math, Physics, or similar

• PhD or Master’s degree in Computer Science, Statistics, Mathematics, Engineering or a related field

Experience Requirements:

• 3+ Years of industry experience as a Software Engineer leading the development of features

• Experience with building and scaling data-intensive software.

• 2+ years of research experience with publication record

• 2+ years of extensive programming experience, 1+ year experience of building machine learning production system

Other Requirements:

• Experience with building a library or a framework.

• Experience with Big Data technologies and frameworks including but not limited to Spark, Cassandra, Kafka.

• Experience with Microsoft Azure

• Comfortable with statistics.

• Knowledge of machine learning and deep learning.

• Knowledge of distributed systems.

• Strong background in machine learning and deep learning

• Proven track record of applying machine learning to solve real-world problems

• Depth of experience in relevant ML research disciplines

• Hands on experience in software systems development

• Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library

• Experience with Spark, SQL, or comparable database systems

• Experience using GPUs for accelerated deep learning training

• Familiarity with cloud computing systems like Azure or AWS

• Strong communication, business acumen and stakeholder management competencies

• Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices

• Strong coding proficiency: python, R, SQL and / or Scala, cloud architecture

• Certified Scrum Product Owner and / or Certified Scrum Master or equivalent experience

• Familiarity with cloud solution architecture, Azure a plus

• Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models

• Experience with developing MLOps CI/CD pipelines for deploying AI/ML models

• Solid cloud experience with Azure or AWS and cloud AI/ML services such as Databricks, Kubernetes, docker and container orchestration, Azure Machine Learning, Azure Data Factory

• Strong experience with PySpark for big data processing and PyTorch for deep learning model serving

• Expert coder with Python, Java, or Scala

• Experience with RAG, LLM fine tuning, LLM serving

• Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting

• Knowledge of cloud engineering

• Self-motivated and demonstrated ability to take independent action to delivery results.

• Highly developed critical thinking, analytical and problem-solving skills

• Strong verbal and written communication skills, with the ability to work effectively across teams

Responsibilities:

• Own and ship product features that enable ML engine capabilities.

• Work with product owners and tech leads to design, ship, and refine significant components of the product.

• Work with scientists and MLOps teams to maintain and service the product.

• Translate broad business problems into sharp data science use cases, and craft use cases into product visions

• Own machine learning products from vision to backlog; prioritizing features and defining minimum viable releases; maximizing the value your products generate, and the ROI of your pod

Benefits:

• Entrepreneurial and inclusive culture

• Excellent health coverage

• Four weeks paid vacation

• Catered lunches twice a week over machine learning talks

• Opportunities to collaborate with faculty at the Vector Institute

Education Requirements:

• Master’s degree in data science, artificial intelligence, computer science or equivalent experience

Experience Requirements:

• Minimum three years of experience delivering major data science projects in large, complex organizations

Other Requirements:

• Strong communication, business acumen and stakeholder management competencies

• Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices

• Strong coding proficiency: python, R, SQL and / or Scala, cloud architecture

• Certified Scrum Product Owner and / or Certified Scrum Master or equivalent experience

• Familiarity with cloud solution architecture, Azure a plus

Responsibilities:

• Translate broad business problems into sharp data science use cases, and craft use cases into product visions

• Own machine learning products from vision to backlog; prioritizing features and defining minimum viable releases; maximizing the value your products generate, and the ROI of your pod

• Guide Agile pods on continuous improvement, ensuring that the next sprint is delivered better than the previous

• Work closely with stakeholders to identify, refine and (occasionally) reject opportunities to build machine learning products; collaborate with support functions such as risk, technology, model risk management and incorporate interfacing features

• Facilitate the professional & technical development of your colleagues through mentorship and feedback

Benefits:

• Entrepreneurial and inclusive culture

• Excellent health coverage

• Four weeks paid vacation

• Catered lunches twice a week over machine learning talks

• Opportunities to collaborate with faculty at the Vector Institute

Education Requirements:

• BSc+ in Computer Science, Math, Physics, or similar

Experience Requirements:

• 2+ years of extensive programming experience, 1+ year experience of building machine learning production system

Other Requirements:

• Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models

• Experience with developing MLOps CI/CD pipelines for deploying AI/ML models

• Solid cloud experience with Azure or AWS and cloud AI/ML services such as Databricks, Kubernetes, docker and container orchestration, Azure Machine Learning, Azure Data Factory

• Strong experience with PySpark for big data processing and PyTorch for deep learning model serving

• Expert coder with Python, Java, or Scala

• Experience with RAG, LLM fine tuning, LLM serving

• Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting

• Knowledge of cloud engineering

• Self-motivated and demonstrated ability to take independent action to delivery results.

• Highly developed critical thinking, analytical and problem-solving skills

• Strong verbal and written communication skills, with the ability to work effectively across teams

Responsibilities:

• Traditional ML: Develop and deploy batch and real-time model inference pipelines to production, perform end-to-end integration testing.

• Gen AI: Develop and deploy scalable production Gen AI systems for Gen AI models.

• Mode Serving Framework: Develop in house model serving framework or integrate open-source model serving framework with enterprise data platform.

• ML System Design: Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability.

• Data Analysis & Processing: Perform data analysis, data preprocessing, and feature engineering on complex and large datasets for machine learning models.

Benefits:

• Entrepreneurial and inclusive culture

• Excellent health coverage

• Four weeks paid vacation

• Catered lunches twice a week over machine learning talks

• Opportunities to collaborate with faculty at the Vector Institute

Education Requirements:

• PhD or Master’s degree in Computer Science, Statistics, Mathematics, Engineering or a related field

Experience Requirements:

• 2+ years of research experience with publication record

• Proven track record of applying machine learning to solve real-world problems

Other Requirements:

• Depth of experience in relevant ML research disciplines

• Hands on experience in software systems development

• Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library

• Experience with Spark, SQL, or comparable database systems

• Experience using GPUs for accelerated deep learning training

• Familiarity with cloud computing systems like Azure or AWS

Responsibilities:

• Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.

• Research, develop, and apply new techniques in deep learning to advance our industry leading products.

• Work with large-scale, real-world datasets that range from banking transactions, to large document collections.

• Collaborate closely with our engineering team in a fast-paced startup environment and see your research deployed in production with very short turnaround.

Benefits:

• Competitive salary

• Generous health, dental, and vision insurance

• Flexible working hours

• Flexible vacation time

• Hybrid/Remote friendly work environment

Education Requirements:

• Phd or Master’s level degree in computer science, machine learning, engineering or related fields

Experience Requirements:

• 2-5 years of experience working as a data/AI scientist developing AI models and evaluation of AI/LLM models

• Experience applying both technical and non-technical (policy, ethical, social) approaches to model risk and impact assessments

• Familiarity with requirements contained in AI regulations as well as leading standards and frameworks (EU AI Act, NIST AI Risk Management Framework, ISO Standards, etc)

Other Requirements:

• Excellent organizational and project management skills, including the ability to lead a small team on client-facing projects

• Strong technical, analytical and conceptual problem-solving skills

• Demonstrated experience drafting reports and academic publications

• Team player

• Comfortable in a flexible and evolving environment

• Ability to multitask

Responsibilities:

• Support client model assessment projects from start to finish, including advising on the selection and development of test plans and evaluation metrics suited to the business use case and regulatory requirements

• Play a lead role in drafting model assessment reports for clients, including addressing the broader compliance and/or business impacts of assessment technical findings

• Develop and document assessment team standard operating procedures with a view to improving project efficiency and customer satisfaction

• Serve as one of the main points of contact for technical questions related to model assessment approaches and findings

• Work with the Chief Technology and Product Officer and assessment team to identify state-of-the-art techniques, methods and tools for model testing, evaluation and validation of AI/ML systems, including generative AI

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Competitive salary

• Pension plan

• Travel expense reimbursement

• Laptop

• Opportunities for professional development

Education Requirements:

• Completed university degree (WO-opleiding)

Experience Requirements:

• 2 to 4 years of experience in a project-based role

Other Requirements:

• Ability to set clear priorities and communicate them effectively

• Ability to simplify complex processes

• Customer-oriented and positive/solution-oriented attitude

• Experience with Agile work methods

• Familiarity with Google Cloud environment

• Fluency in both Dutch and English

Responsibilities:

• Take the lead in the implementation process

• Collaborate with stakeholders

• Define technical and process requirements

• Establish ambitious plans with deadlines

• Prioritize based on impact

Benefits:

• Competitive salary

• Pension plan

• Travel expense reimbursement

• Laptop

• Opportunities for professional development

Education Requirements:

• 1-3 years of experience in project management or similar role

Experience Requirements:

• 1-3 years of experience

Other Requirements:

• Strong communication skills

• Customer-oriented attitude

• Ability to simplify complex processes

• Prioritization skills

• Fluency in both Dutch and English

Responsibilities:

• Coordinate the implementation process

• Communicate with stakeholders

• Plan and prioritize

• Maintain project overview