Lead QA for ML web applications: develop and execute test plans and automated frameworks, design ML/LLM-specific tests, mentor junior QA engineers, define QA metrics, collaborate with ML and software teams, participate in releases, troubleshoot model issues, and ensure functional, regression, performance, and security testing.

Design, build, and maintain scalable data solutions and automated testing frameworks on Azure/Databricks. Develop Python SDKs, implement data quality and parity tests, optimize Spark/Databricks resources, maintain CI/CD pipelines, ensure data governance and security, and collaborate in Agile teams.

Design, build, and maintain scalable data solutions on Azure Databricks and Flink. Develop Python SDKs, implement data quality and parity test automation, optimize Azure/Databricks resources, maintain CI/CD pipelines, and enforce data governance, security, and best practices within Agile teams.

Design, build, and maintain automated testing frameworks and a Python SDK for data integration and parity in Industrial IoT/Smart Buildings. Implement scalable Spark and Flink data solutions, enforce data quality rules, optimize Azure/Databricks/Delta Lake resources, maintain CI/CD pipelines, and promote governance, security, and best practices within Agile teams.

Architect and implement scalable Spark (batch) and Flink (stream) data solutions for an IoT platform: build IoT Query Language grammar, validator, and Spark adapter; implement graph/ontology traversal logic; ensure parity between batch and stream; optimize Azure/Databricks resources; prepare and transform data using SQL/Python/Java; enforce data governance, quality, security, CI/CD and documentation within Agile processes.

Lead design and implement scalable Spark and Flink data solutions for an IoT platform: build query grammar/validator, generate optimized Spark execution plans, ensure parity between batch and stream, manage Azure/Databricks resources, enforce data governance, and participate in Agile processes.

Lead Data Engineer to architect and implement scalable Spark (batch) and Flink (stream) data solutions. Build IoT Query Language grammar, validator, and Spark adapter translating metric definitions into optimized execution plans. Ensure parity between batch and stream implementations, optimize Azure/Databricks resources, transform data with SQL/Python/Java, enforce governance/security, monitor performance, document solutions, and participate in Agile processes.

Lead design and implement scalable data solutions for an IoT platform using Spark (batch) and Flink (stream). Build grammar/parser, query validator, Spark translation layer, graph relationship logic; ensure parity across batch/stream, optimize Databricks/Azure resources, enforce data governance, and participate in Agile processes.

Lead design and implement the core engine for an IoT platform: define metrics, implement an IoT query language and validator, build Spark and Flink execution paths, ensure parity between batch and stream, optimize Databricks/Delta Lake resources, and enforce data governance, quality, and security practices.

Lead design and build real-time streaming pipelines for IoT using Apache Flink. Implement custom ProcessFunctions, state management, checkpointing, and data quality gates. Optimize Flink clusters on Azure, integrate shared libraries, and maintain CI/CD, monitoring, and documentation while promoting data governance and security.

Lead design, build, and maintain Flink-based real-time streaming pipelines for IoT sensor data on Azure. Implement stateful processing, custom ProcessFunctions, data quality gates, optimize state backends, integrate with shared libraries, manage Flink clusters and Azure resources, and enforce data governance and CI/CD practices within Agile teams.

Lead design and build real-time Flink streaming pipelines for Industrial IoT. Implement custom ProcessFunctions, state management, data quality gates, and optimize Azure-based Flink clusters. Collaborate with teams to integrate libraries, ensure data governance/security, and support CI/CD and operational monitoring.

Lead design, implement, and maintain scalable real-time Flink streaming pipelines for IoT sensor data on Azure. Build custom ProcessFunctions, state management, data quality gates, and optimize Flink clusters and state backends. Collaborate with teams to integrate libraries, enforce data governance and security, document solutions, and support CI/CD and Agile delivery.

Lead design and implement Flink 2.x streaming pipelines for IoT sensor data on Azure, build custom ProcessFunctions and data-quality gates, optimize state backends and clusters, integrate shared libraries, enforce data governance, and participate in Agile delivery.

Lead engineering across ML/MLOps and core software development: define strategy, scale ML platforms, integrate ML lifecycle with CI/CD and Kubernetes, ensure software engineering best practices, mentor distributed teams, and collaborate cross-functionally to deliver product vision.

Seeking a Senior Data Engineer to design and implement high-performance data solutions and pipelines, ensuring scalability and reliability in cloud environments.

Lead enterprise revenue growth and manage sales teams; architect AI-driven solutions and collaborate with clients to solve business problems.

Data Scientist will develop models for customer retention, demand prediction, and pricing strategies by utilizing machine learning and statistical techniques.

The Applied AI Engineer will develop and deploy AI automation solutions, integrate LLMs, and collaborate with clients to enhance workflows and systems.

As an Applied AI Engineer (Automation), you'll design, develop, and deploy AI and automation solutions, integrating LLMs into workflows and ensuring scalability and client satisfaction.