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
- Product Owner for machine learning at beqom, a B2B SaaS improving employee compensation fairness. Collaborate with data scientists to transform complex data into user-friendly insights.
Responsibilities
- Execute and deliver on the roadmap for features focused on machine learning and analytics across all beqom applications.
- Translate complex analytical concepts and statistical outputs into intuitive user interfaces and clear actionable insights for non-technical users.
- Write clear and concise product requirements, user stories, specifications, and acceptance criteria (Jira is your friend!).
- Collaborate closely with engineering and design teams throughout the development lifecycle to ensure features are built to specification and meet user needs.
- Manage the product backlog, prioritize features, and make trade-off decisions based on user value, business goals, and technical feasibility.
- Define and analyze key product metrics to measure success, inform future iterations, and demonstrate value.
- Work with the Product Manager and clients to prioritize what makes sense for our SaaS offering given the broader context.
Requirements
- Bachelor's or Master’s degree in a scientific, technical, or quantitative field (e.g., Hard sciences, Computer Science, Engineering, Finance, Economics, Statistics).
- A minimum of 5 years of experience in a Product Management or Product Owner role with a focus on data, reporting, analytics and/or statistics.
- Experience with statistical modelling.
- Experience developing functionality with ML and Gen-AI.
- Proven track record of defining product requirements and owning a product roadmap within an engineering team.
- Experience in a client-facing role, with the ability to manage stakeholder expectations and handle challenging conversations.
- Excellent analytical and problem-solving skills.
- Experience in the HR Technology (HR Tech) space, particularly with compensation, analytics, or pay equity solutions (desirable, but not essential).
- Experience with data visualization tools and techniques (desirable, but not essential).
- Familiarity with usability testing and user research methodologies (desirable, but not essential).
Benefits
- Your career, your design.
- Unleash your ambition in our dynamic, autonomous environment.
- Drive meaningful change.
- Build a fairer future for every employee by joining a market leader that is improving the world of work.
- Belong to something bigger.
- Collaborate with a passionate, diverse and talented team around the globe.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
Graduate Deep Learning Algorithm Developer developing perception technologies for autonomous driving. Tackling challenges in object detection and 3D perception using state - of - the - art deep learning models.
Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.
AI/ML Engineer developing solutions in artificial intelligence for HPE. Responsible for conducting research, designing AI solutions, and mentoring team members.
Machine Learning Engineer focusing on modeling cancer cells and developing related tools. Collaborating with researchers and scientists to advance cancer treatment through ML.
Machine Learning Engineer II developing production - grade ML models for fraud detection at GEICO. Collaborating on system architecture and ensuring optimal performance of fraud assessment systems.
AI/ML Engineer III designing and architecting AI solutions at Hewlett Packard Enterprise. Collaborating with teams to drive innovation and tackle complex problems.
AI/ML Engineer deploying state - of - the - art AI models to solve real - world problems at Brain Co. Working in healthcare, government, and energy sectors for impactful results.
Trainer at WeAndTheMany facilitating learning by sharing experiences and creating interactive sessions. Engaging with students to enhance their skills and knowledge through dynamic teaching methods.