Lead Data Scientist will design and deploy forecasting models, manage projects, mentor juniors, and collaborate with various teams in the healthcare domain.

The Full Stack Gen AI Engineer will build high-performance API services, implement Generative AI architectures, and manage AWS infrastructure and DevOps workflows.

The role involves supporting HR activities including onboarding, performance management, employee engagement, and compliance for a globally distributed team.

Develop and maintain dashboards in Tableau, optimize SQL for data analysis, and provide insights for business growth in Retail.

Design and implement high-performance APIs and microservices using Python and AWS, focusing on generative AI and scalable applications.

As a Senior Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.

Lead the design, development, and deployment of recommendation systems, mentor teams, manage projects, and collaborate with clients while ensuring the delivery of scalable ML solutions.

As a Machine Learning Engineer, you'll develop scalable ML solutions using Google Cloud Platform and Vertex AI, collaborate with teams, and operationalize models from ingestion to monitoring.

The Product Manager will lead mobile and web application release initiatives, manage the product lifecycle, and collaborate with cross-functional teams to ensure project success.

The Senior/Lead Data Scientist will develop advanced forecasting models, collaborate with business partners, and guide a team in deploying analytical solutions.

As a Senior/Lead Data Scientist, you'll leverage Python and PySpark to solve supply chain analytics challenges, develop predictive models, and communicate insights effectively.

The Agentic AI Lead/Architect will define AI architecture on Azure, lead design of AI automation use cases, and mentor engineers.

As a Principal Data Scientist, you'll design and implement advanced analytics engines using AI and machine learning, collaborating with teams to address technical problems and develop robust data products.

Manage analytics consulting projects by collaborating with clients to design data-driven solutions, translate business problems, and present actionable insights.

The Director of Data Science will lead data science initiatives, build ML models, collaborate with stakeholders, and drive impactful insights for clients.

The role involves leading client analytics programs, conducting data analysis, ensuring delivery quality, and communicating insights to executives.

Manage multiple projects in data science and IT, utilizing Agile methodologies while overseeing cross-disciplinary teams and ensuring timely delivery of project objectives.

The Principal Data Scientist will lead the development of machine learning models and analytics solutions, collaborating with cross-functional teams to address complex business problems and ensure successful model deployment.

The candidate will design and deploy forecasting models, handle large-scale data processing, and work with stakeholders to enhance demand planning analytics.

The Project Manager will oversee project delivery, using Agile methodologies and Scrum ceremonies, while managing teams and developing project plans.