Seeking a highly motivated Data Scientist to deliver innovative machine learning and analytics solutions for complex business challenges in a customer-facing role.
Responsibilities
Design and implement data science solutions throughout the project lifecycle.
Analyze large and complex datasets to identify trends, anomalies, and actionable insights.
Develop and optimize machine learning models and advanced analytics workflows.
Perform feature engineering and data preparation for predictive modeling initiatives.
Collaborate with Product, Engineering, and Customer Success teams to translate business requirements into technical solutions.
Senior Test Analyst responsible for creating, executing, and maintaining test scenarios, frameworks, and reports for applications related to social protection services.
Responsibilities
Identify, create, and maintain test scenarios for manual and automated testing
Execute established tests and set up and update the test framework
Test new functionalities and perform regression testing
Design and build interactive, user-facing data and AI applications on the Databricks platform. Focuses on front-end development and user-centric workflow design.
Responsibilities
Design, develop, and deploy interactive data and AI applications using Databricks Apps.
Build React-based user interfaces and reusable front-end components using TypeScript/JavaScript, HTML, and CSS.
Integrate applications with Databricks capabilities, including Unity Catalog, Delta tables, Databricks SQL, AI/BI dashboards, Genie, MLflow, and Databricks REST APIs.
Integrate AI and LLM features through secure APIs and Databricks Model Serving endpoints to enable prompt-driven and context-enriched user workflows.
Develop lightweight back-end services and APIs using Python (e.g., FastAPI, Flask) or Node.js to connect front-end features to underlying data and models.
The role involves acting as an AI architect leading the implementation and solution delivery of AI applications across onshore/offshore teams, designing end-to-end applications, and translating business objectives into technical AI solutions.
Responsibilities
Work on the Implementation and Solution delivery of AI applications leading the team across onshore/offshore
Design end-to-end AI applications, ensuring integration across multiple commercial and open source tools
Translate business objectives into technical requirements and AI-driven solutions
Partner with product management to design agile project roadmaps
Lead the design and implementations of reference architectures, roadmaps, and best practices for AI applications
Requirements
Bachelor’s degree in Computer Science
Master’s degree in Computer Science
Nice to have: Certifications in Cloud technologies (AWS, Azure, GCP)
AI architect responsible for design, implementation, and delivery of AI applications, leading cross-functional teams and ensuring scalable, secure solutions.
Responsibilities
Design end-to-end AI applications
Lead cross-functional collaboration across onshore/offshore teams
Translate business objectives into technical requirements
Partner with product management to design agile project roadmaps
Work with data engineering teams to ensure smooth data flows
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