Top Tech Jobs & Startup Jobs

The Quality Assurance Specialist will design and execute test strategies for AI applications, develop automated testing frameworks, collaborate with various teams for comprehensive testing, conduct performance tests, manage defects, and ensure quality assurance documentation is up-to-date.

The Digital Marketing Analyst will focus on developing and analyzing mobile application and website analytics, validating data, assessing traffic channels, and creating reporting tools. The role involves analyzing advertising campaign effectiveness and supporting ad-hoc requests to enhance digital marketing strategies.

The Lead People's Partner will lead a team of HR professionals, collaborating with senior leadership to shape people strategies that align with business objectives. Responsibilities include talent management, employee relations, change leadership, and ensuring HR compliance. A focus on data-driven insights to optimize workforce effectiveness is crucial.

The MLOps Engineer will build CI/CD pipelines for data science models, manage systems for monitoring model performance, automate the MLOps lifecycle, and ensure scalable machine learning solutions. The role requires strong knowledge of MLOps and various technologies to deploy and manage machine learning models effectively.

The Data Analyst will perform data preparation, analysis, and support model development for credit risk. Responsibilities include collaborating with team members on data wrangling, conducting ad-hoc analyses, and participating in feature engineering and model evaluation. The role involves stakeholder collaboration to communicate analytical findings and assist in the professional development of junior analysts.

The DevOps Engineer will architect and optimize CI/CD pipelines, mentor junior team members, implement containerization solutions, ensure system security and scalability, lead incident response efforts, and evaluate new DevOps tools. They will work on enhancing operational excellence within the team.

The Data Analyst will prepare and analyze complex datasets, support machine learning model development, collaborate with various stakeholders, and contribute to feature engineering efforts. The role emphasizes the development of skills in credit risk modeling and includes mentoring of junior analysts.