Lead a team of data scientists in developing and deploying machine learning models, ensuring code quality, documentation, and smooth industrialization of projects.

The role involves supporting a Fortune 500 client with performance marketing analytics, web analytics, and digital user experience optimization using various tools and programming skills.

Lead design, implementation, and management of CI/CD pipelines and release automation across cloud platforms. Automate provisioning of Azure resources using IaC (ARM/Terraform), manage Git repos and branching strategies in Azure DevOps, integrate automated testing, enforce security best practices, and implement monitoring, logging, and tracing. Collaborate with security teams and support deployment reliability.

The Senior Fullstack Engineer will design, develop, and maintain enterprise web applications while collaborating with data teams and managing junior engineers.

Responsible for managing, developing, and maintaining backend and frontend for Data to Decision projects, integrating outputs from backend APIs, and collaborating with data science and product owners.

The Lead Data Scientist will lead teams to deliver machine learning and deep learning models, focusing on reinforcement learning. Key responsibilities include project management, delivering quality outcomes, and ensuring scalable coding practices.

The Senior Consultant will lead finance analytics consulting projects, develop financial models, mentor a team, support digital transformation, and enhance client relationships.

As a Fullstack Engineer, you'll manage backend and frontend projects, integrate algorithms, create user-friendly infographics, and troubleshoot issues.

Fullstack Engineer responsible for developing and maintaining web applications, integrating backend and frontend systems, and collaborating with cross-functional teams for data decision projects.

As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.

The GCP Engineer focuses on developing large scale data engineering solutions using GCP, including data pipelines and ETL processes for Fortune clients.

The Fullstack Engineer will develop and maintain backend and frontend systems for data projects. Responsibilities include integration, UAT participation, and documentation creation.

Lead a team of DevOps & cloud engineers to build and manage GCP infrastructure for AI workloads, focusing on security, governance, and cost optimization.

Seeking a Senior Power Platform Developer to design, implement, and troubleshoot solutions using Microsoft Power Platform while collaborating with stakeholders and providing training.

Fractal Analytics seeks a Hacker-Mind AI Engineer for rapid prototyping of AI solutions, problem-solving, and collaboration with teams and clients, leveraging cutting-edge technologies.

The role involves implementing SAP Analytics Cloud projects, collaborating with clients, and leveraging technical and functional expertise to deliver BI solutions.

The ETL Testing Engineer is responsible for designing, executing, and automating test cases for data quality assurance in ETL processes, ensuring accuracy and integrity of data with a focus on collaboration and continuous improvement.

The Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality and collaborating across teams to prioritize data needs.

The consultant analyzes technology campaign data, provides insights, manages analytics projects, and communicates with clients to solve business problems using data-driven solutions.

Design and implement data solutions on Azure, optimize data processing frameworks, enforce governance policies, and enable BI reporting while collaborating with teams.