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The Senior Data Engineer will be responsible for delivering data solutions using Databricks, constructing data pipelines with PySpark, and leveraging cloud-based technologies for data integration and management. The role involves optimizing SQL queries and implementing data integration projects, with experience in AWS and orchestration tools considered a plus.

Design and develop distributed applications and user-centric web services. Engage in machine learning and artificial intelligence projects while producing high-quality, tested software for continuous integration. Collaborate on system integration using ORM libraries and ensure reliable service delivery.

As a Senior Software Developer, you will be responsible for maintaining and enhancing web applications, debugging issues, and integrating new functionalities while collaborating with cross-functional teams. You will leverage your expertise in full stack development, particularly in React.js and Python, to optimize applications and support clients in a 24/7 production environment.

The Associate Engagement Manager will identify and develop new client opportunities in AI and Data Science, lead projects by gathering requirements, and create solutions for complex business problems. The role involves technical tasks including documentation and training, along with managing client expectations and team collaboration for successful project execution.

The Consultant - Graphic Design will study design briefs, schedule projects, conceptualize visuals, develop designs using software, collaborate with the marketing team, and ensure final graphics are visually appealing and on-brand.

The Senior Software Developer - Full Stack will write efficient code, collaborate with teams to implement new features, and ensure adherence to security standards. Responsibilities include developing and testing web applications, participating in Agile methodologies, and resolving defects during QA testing.

The Senior MLOps Engineer will design, deploy, and maintain distributed systems using Kubernetes and Slurm, optimize Multi-GPU Deep Learning job scheduling, and automate system tasks with shell scripting. This role involves collaboration with teams, monitoring system performance, and troubleshooting technical issues, ensuring high reliability in the deployment of AI models.