You will experiment with emerging technologies and contribute to building new models and systems.
You will implement prototypes in Python and focus on delivering solutions to production.
You will partner with the platform engineering team to streamline MLOps workflows and maintain high code quality.
Verve creates a more efficient and privacy-focused way to buy and monetize advertising by fusing data, media, and technology. With 30 offices globally, they serve top advertisers and publishers and foster a collaborative, fun culture.
Architect, deploy, and optimize machine learning models for production environments, including search, recommendation, and conversational AI.
Design experiments and analyze large datasets to validate hypotheses and improve product performance.
Collaborate cross-functionally with product managers, engineers, and ML specialists to deliver impactful AI-driven solutions.
This role is listed by Jobgether, a company that uses AI-powered matching to connect candidates with hiring employers. They operate in a remote-first model with a high-performance, collaborative environment, offering opportunities to work alongside top technology professionals.
Design and migrate scalable data solutions using modern cloud technologies like AWS and Data Mesh.
Convert Alteryx workflows to AWS-native architectures such as AWS Glue and improve performance.
Build and maintain reliable data pipelines using distributed processing tools like Spark and Airflow.
The partner company provides data engineering and cloud solutions aimed at helping organizations modernize their data platforms. They are a collaborative team of technology professionals focused on innovation and scalable architectures.
Design, develop, and improve data solutions supporting business objectives.
Act as a technical reference for analytics, automation, and BI projects.
Translate business needs into scalable data models, pipelines, and process automations.
Jobgether is an AI-powered job matching platform connecting candidates with hiring companies. It uses AI to quickly review applications and share top-fitting candidates directly with employers.
Oversee the full lifecycle of data products within the Data Core team, from ideation to operation and continuous optimization.
Ensure the data infrastructure (Databricks, Unity Catalog, data lake) operates with excellence, reliability, and scalability.
Lead and develop a cross-functional team of data engineers, scientists, and analytics experts, balancing long-term vision with hands-on execution.
We help large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience, we are 8,000 CI&Ters in over 25 countries, collaborating to build solutions with real impact.
Analyze business requirements and design technical solutions for large-scale digital environments.
Create and maintain system models and diagrams using BPMN and UML.
Collaborate with stakeholders and development teams to ensure successful implementation of product changes.
Jobgether is an AI-powered platform that matches candidates with job opportunities by analyzing applications against core requirements. The company connects talent with hiring employers and uses technology to streamline the hiring process.
Analyze, organize, and process large volumes of data to support business and technology decision-making.
Develop and maintain data pipelines using Databricks, Python, PySpark, and SQL, ensuring efficiency and quality.
Build dashboards, reports, and executive presentations to translate data into actionable insights.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. They have 8,000 employees in over 25 countries, collaborating to build solutions with real impact, with AI integrated into their daily work.
Transform complex, unstructured career information into organized and localized datasets.
Apply structured frameworks to enhance data quality and consistency across global employment markets.
Collaborate with international teams to improve taxonomy processes and data classification models.
Jobgether is an AI-powered job matching platform that connects candidates with employers. The company uses technology to enable efficient and fair hiring processes for global roles.
Transform complex billing and financial data into actionable insights that improve business performance.
Analyze trends, assess risks, and support data-driven decisions across billing, support, finance, and product functions.
Build and maintain reliable data pipelines, apply statistical analysis, and design A/B tests to evaluate strategies.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies through automated screening. The company operates in a fast-growing environment with international teams and focuses on innovative consumer products.
Analyze complex datasets from customer, CRM, healthcare, and media sources to uncover trends and business drivers.
Develop advanced analytics solutions such as segmentation models, predictive models, and attribution frameworks.
Translate findings into actionable recommendations and present them to non-technical stakeholders.
We are an AI-powered job matching platform that connects candidates with global opportunities. With a remote-first team and a focus on efficient hiring, we leverage technology to ensure fair and objective candidate evaluation.