The MLOps Engineer will collaborate with data scientists to deploy and operate machine learning models, automate processes, and build scalable ML pipelines.

The Senior Data Scientist will design and implement generative AI solutions, manage the full project lifecycle, conduct research, mentor juniors, and present insights to stakeholders.

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

The role involves developing BI solutions using Tableau, translating business requirements into visual reports and optimizing SQL queries. Collaboration with stakeholders to ensure data quality and deliver insights is essential.

As a Data Engineer, you will implement data pipelines and analytics to support decision-making using AWS technologies and Machine Learning.

The role involves designing advanced solutions using LLMs, conducting research in generative AI, maintaining code libraries, and collaborating with teams.

Design and develop frameworks for data ingestion and processing using various tools on GCP. Ensure compliance with data governance and support development lifecycle.

As an NLP Lead Data Scientist, you'll build solutions leveraging NLP techniques, conduct research on generative AI, and engage in the software development lifecycle while collaborating with cross-functional teams.

As a Data Engineer, you will innovate and maintain technology services, develop software systems for large projects, and work across all SDLC phases.

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

The Data Automation Test Engineer will validate data migration and ETL processes while developing a QA framework, automation scripts, and collaborating with cross-functional teams.

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 a Data Engineer, implement data pipelines and analytics solutions using AWS technologies, collaborating closely with Product Owners and AWS Architects.

The role involves developing cloud solutions on AWS, maintaining CI/CD pipelines, and collaborating with cross-functional teams to deliver high-quality software.

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.

Lead the architectural vision for data engineering and cloud native technologies, collaborating with engineers and scientists for solution delivery.

The Client Partner leads analytics delivery for clients, driving revenue growth, managing teams, and ensuring client satisfaction through strategic insights and innovation.

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.

Lead the end-to-end data science pipeline, develop AI/ML models, collaborate with engineering teams, and engage business users to translate complex problems into solutions.