The Healthcare Data & Business Consultant will lead consulting engagements in healthcare focusing on data engineering and modernization, translating business needs into data-driven solutions, managing healthcare data, and enabling data modernization and cloud platforms.

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

The GCP Engineer will design, build, and operate scalable analytics platforms using Google Cloud, ensuring implementation aligns with innovation strategies and collaborates globally to solve technical challenges.

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 Azure DevOps Architect will automate infrastructure, collaborate with diverse teams, provide mentorship, and ensure security and performance across deployments.

The Data Modeller will design logical and physical data models, lead data discovery sessions, and collaborate with teams to support BI and data processes.

Seeking a Senior Fullstack Engineer proficient in React and Python with experience in FastAPI and cloud platforms like Azure or AWS. Ideal candidates are enthusiastic and eager to contribute to a fast-growing company.

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

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

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

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.

Design and develop data ingestion frameworks and real-time processing solutions while optimizing and operationalizing data analytics tools in GCP.

The Lead Gen AI Data Scientist will design and implement AI solutions, work with cross-functional teams, and stay abreast of advancements in generative AI and LLMs, while supporting development and integration of models into applications.

Design, implement, and maintain scalable cloud infrastructure; mentor teams; ensure security and compliance; optimize data processes using GCP, BigQuery, and Kubernetes.

The role involves designing and building advanced cloud-based data solutions using Azure technologies, participating in system integration projects, and leveraging Python and SQL for application development and data warehousing.

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

As a MLOps Engineer, you will collaborate with Data Scientists and Engineers to deploy machine learning models, automate processes, and build ML pipelines. Responsibilities include troubleshooting issues, developing MLOps components, and working on cloud platforms.