The Machine Learning Engineer will enhance the scalability and efficiency of data science solutions, operationalize AI/ML algorithms, and build automated systems for model training and monitoring, collaborating closely with data scientists and product teams.

The Senior Data Engineer at Kalibri Labs will design, develop, and deploy scalable data pipelines. Responsibilities include mentoring other data engineers, optimizing data processes, and collaborating with cross-functional teams. The role requires managing data availability and integrity while implementing automated testing and maintaining integration pipelines.

The Sales Development Representative at Kalibri Labs will focus on generating new business opportunities through prospecting, lead generation, outreach, and nurturing relationships. This role requires engagement with potential clients via calls, emails, and social media, while managing the CRM and collaborating with sales and marketing teams to support growth and sales goals.

The Data Analytics Manager will lead a team in building and enhancing data processing pipelines, focusing on data quality and accuracy. Responsibilities include managing data projects, implementing SLAs and KPIs, resolving data issues, and mentoring team members in data system design and analysis.

The Customer Success Representative will assist customers with support requests, quality assurance, training material development, and sales support. The role involves monitoring client services, managing salesforce operations, performing analyses, and reporting on key performance indicators in a dynamic, remote environment.

The Account Manager at Kalibri Labs is responsible for managing client relationships, onboarding new clients, monitoring customer satisfaction, upselling services, gathering client feedback, and collaborating cross-functionally to enhance client experiences. They will also provide reports on account performance and engage clients through events and other channels.

The Senior Full Stack Engineer will design, build, and scale a SaaS-based business intelligence platform, working primarily on front-end development while also contributing to back-end tasks as needed. They will collaborate with a cross-functional team to implement best practices in software development, mentor team members, and ensure the application meets security and performance standards.

The Software Engineer will develop and maintain the SaaS-based Hummingbird PXM platform, collaborating with cross-functional teams to design features, write tests, and address performance issues. The role involves applying Agile methodologies for effective team communication and workflow management.

The Product Backend Engineer at Kalibri Labs will design, build, and scale their SaaS business intelligence platform, Hummingbird PXM. Responsibilities include developing backend functionalities, ensuring performance and scalability, optimizing data pipelines, and collaborating with cross-functional teams.

The Data Analyst will support the Data Solutions team at Kalibri Labs by conducting data synthesis, ad-hoc analysis, and data visualizations. Responsibilities include producing industry performance analyses, partnering with sales and customer success teams for bespoke analyses, and contributing to research and development for evolving analytical offerings.

The MLOps Engineer will work with cross-functional teams to build a secure continuous deployment pipeline on cloud infrastructure, automate processes, and ensure quality of Data Science solutions while integrating machine learning lifecycles and enhancing operational efficiency.