Senior Machine Learning Engineer (Production & MLOps Focus)

Partner Solutions Engineer - IOT

Senior AI Engineer

DevSecOps Engineer

Lead DevSecOps Engineer

Software Quality Engineer

Analytics Lead (AD&M Business Unit)

Software Development Engineer in Test

EUC Consultant M365

QA Lead

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: <ul><li>Involves working closely with industrial partners to evaluate their technical readiness, helping them align with client architectural plays and providing technical direction to develop new solutions and services offerings</li><li>Collaborate with partners to help them build IoT solutions aligned with our client strategy.</li><li>Provide strategic feedback on technology trends and develop business plans for partner enablement.</li><li>Lead partner training initiatives and assist in positioning our client solutions effectively.</li><li>Work cross-functionally with internal teams to adapt or create solutions addressing partner needs.</li><li>Create and deliver compelling solution demonstrations and prototypes</li><li>Provide feedback to product and engineering teams to improve IoT SDKs, APIs, and documentation.</li></ul> Requirements: Industry &amp; Partner Experience: <ul><li>Experience working with partner companies or Gold/Select resellers</li><li>Exposure to automation environments, particularly with Rockwell Automation, Honeywell, or other industrial control vendors</li><li>Familiarity with the integration of OT (Operational Technology) and IT networks</li></ul> Technical Expertise: <ul><li>Strong hands-on knowledge of networking technologies (routing, switching, wireless, security)</li><li>Understanding of security solutions (e.g., ASA/FTD Firewalls, ISE, Umbrella, Duo, etc.)</li><li>Knowledge of network design and architecture in industrial or enterprise environments</li><li>(Optional) Experience with cloud networking (Meraki, SD-WAN, Azure, AWS, etc.)</li></ul> Presales &amp; Commercial Skills: <ul><li>Experience in a presales or customer-facing technical role</li><li>Ability to design and architect solutions based on customer requirements</li><li>Skilled at creating technical proposals, BoMs, solution documentation, and presenting to clients</li><li>Strong communication skills to interface with both technical and business stakeholders</li><li>Familiarity with commercial engagement models (SOWs, pricing, licensing)</li><li>Certifications (Preferred but not mandatory)</li><li>Certifications: CCNP, CCIE (preferred), or other relevant certifications</li><li>Industrial certifications: Rockwell Certified Network Engineer (RCNE), Honeywell Network Specialist, etc.</li><li>Cloud certifications (AWS/Azure/Meraki) – optional</li></ul>

Responsibilities: <ul><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools</li><li>Lead the design and development of solutions using Agentic AI</li></ul> Requirements: Basic Qualifications: <ul><li>Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, or a related field.</li><li>8+ years of experience in software engineering, data science, AI, or a related field.</li><li>Proficiency in software development and statistical analysis.</li><li>Experience with Large Language Models and their applications.</li><li>Strong communication skills and the ability to present technical results to business stakeholders.</li><li>Experience with solution architecting and design.</li><li>Hands-on experience with cloud platforms such as Azure and/or AWS.</li><li>Proficiency in programming languages such as Python, R, or similar.</li><li>Strong problem-solving skills and the ability to work independently as well as part of a team.</li></ul> Preferred Qualifications: <ul><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Familiarity with Agile development.</li><li>Experience in applications on sales, marketing, and market research.</li><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support.</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools.</li><li>Lead the design and development of solutions using Agentic AI.</li></ul>

Responsibilities: <ul><li>﻿Support and maintain Kubernetes environments.</li><li>Design, implement, and maintain the infrastructure and deployment pipelines to support the development and deployment of our applications. </li><li>Collaborate with software engineers, system administrators, and other team members to identify and implement efficient and reliable solutions. </li><li>Automate processes and tasks to improve efficiency and scalability. </li><li>Provide technical support and assistance to the development team. </li><li>Monitor, analyze, and optimize system performance, ensuring high availability, scalability, and security. </li><li>Timely respond to incidents. </li><li>Maintain and enhance the security of our infrastructure, applications, and systems, ensuring compliance with industry best practices and regulatory requirements. </li><li>Provide On-call Weekly/Weekend off-hour L3-4 support on a rotational schedule with other team members.</li></ul> Requirements: <ul><li>6+ years of hands-on experience in DevSecOps or a similar role.</li><li>Strong knowledge of cloud platforms such as Azure and GCP and their security features.</li><li>Strong knowledge of SDLC, CI/CD pipelines, and infrastructure automation.</li><li>Strong knowledge of CI/CD tools such as Azure DevOps or an equivalent.</li><li>Confident knowledge of IaC approach, testing techniques and strong hands-on experience with infrastructure management tools such as Terraform.</li><li>Good understanding of Configuration Management and hands-on experience with CM tools such as Ansible.</li><li>Strong understanding of networking concepts, including the OSI model (protocols, etc.).</li><li>Expertise in system administration for both Linux and Windows environments.</li><li>Ability to comprehend the objectives of a task, propose and advocate for solutions, and successfully implement them.</li></ul>

Responsibilities: <ul><li>Contribute to Infrastructure as a Code</li><li>Support and maintain Kubernetes environments</li><li>Design, implement, and maintain the infrastructure and deployment pipelines to support the development and deployment of our applications.</li><li>Collaborate with software engineers, system administrators, and other team members to identify and implement efficient and reliable solutions.</li><li>Automate processes and tasks to improve efficiency and scalability.</li><li>Provide technical support and assistance to the development team.</li><li>Monitor, analyze, and optimize system performance, ensuring high availability, scalability, and security.</li><li>Timely respond to incidents.</li><li>Maintain and enhance the security of our infrastructure, applications, and systems, ensuring compliance with industry best practices and regulatory&nbsp;</li><li>requirements.</li><li>Provide On-call Weekly/Weekend off-hour L3-4 support on a rotational schedule with other team members</li><li>Develop and maintain system documentation</li><li>Stay up-to-date with the latest trends, technologies, and best practices in DevSecOps and cybersecurity</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, Information Security, or a related field.</li><li>6+ years of hands-on experience in DevSecOps or a similar role. (8+ years total)</li><li>Strong knowledge of cloud platforms such as Azure and GCP and their security features.</li><li>Strong knowledge of SDLC, CI/CD pipelines, and infrastructure automation.</li><li>Strong knowledge of CI/CD tools such as Azure DevOps or an equivalent.</li><li>Confident knowledge of containerization technologies and strong hands-on experience with Docker and Kubernetes.</li><li>Confident knowledge of IaC approach, testing techniques and strong handson experience with infrastructure management tools such as Terraform.</li><li>Good understanding of modern monitoring tools and practice</li></ul>

Responsibilities: <ul><li>We develop products in the fields of speech recognition, ambient scribe, and digital dictation. Our products are mainly used in hospitals and medical practices.</li><li>You ensure the quality of our software through automated and manual testing.</li><li>You identify, analyze, and solve simple errors in web applications, iOS, and Android apps.</li><li>You work with E2E testing tools such as Cypress and Detox.</li><li>You collaborate closely with the development team and the Product Owner.</li><li>You support the team with additional testing-related tasks.</li></ul> Requirements: <ul><li>Education in application development or degree in computer science, or several years of experience in test automation (E2E testing) with a focus on web applications or mobile apps.</li><li>Proficiency in TypeScript or another scripting language.</li><li>Strong communication skills with an appreciative style.</li><li>Quick comprehension and independent way of working.</li><li>Strong quality awareness and a passion for testing.</li><li>Very good German skills and good English skills.</li></ul> Other Information: Our Technological Environment: <ul><li>.NET, C#, Web API, Entity Framework, SignalR, WPF, xUnit</li><li>Angular, TypeScript, Electron, Cypress</li><li>React Native, Detox</li><li>Azure DevOps Services with Git</li><li>Microsoft SQL Server</li><li>JetBrains products (Rider)</li><li>Microsoft Windows and Apple macOS as target systems for desktop applications</li><li>iOS and Android as target systems for mobile applications</li><li>Our applications are hosted both in the cloud (Microsoft Azure VMs) and on-premises at our clients’ sites.</li></ul> An Advantage Would Be: <ul><li>Certificate as “Test Automation Engineer” (e.g., ISTQB) or willingness to further your education.</li><li>Experience with CI/CD tools such as Azure DevOps.</li><li>Knowledge of agile methods (especially Scrum).</li><li>Knowledge of database technologies (Microsoft SQL).</li><li>Knowledge of C# and PowerShell.</li></ul> What we offer you (and much more): <ul><li>Alongside a young and modern company culture, you can expect an agile and communicative working environment, great team events, motivating team spirit, and many other benefits:</li><li>A personalized onboarding program so you can fully focus on your new tasks and get to know your new team.</li><li>5 weeks of vacation, increasing to 6 weeks after 3 years, and 7 weeks after 10 years.</li><li>Your birthday off.</li><li>Option to work from home.</li><li>Support and funding for training and further education.</li><li>Free parking, reimbursement of public transport pass, or contribution to your commuting costs, plus a free half-fare travelcard.</li><li>Free coffee, soft drinks, and snacks at the workplace.</li><li>Modern hardware and software, plus a comfortable ergonomic workstation.</li><li>State-of-the-art offices with an in-house game lounge, fitness room, rooftop terrace, and a kitchen with catering options.</li></ul>

Responsibilities: Business Engagement &amp; Demand Shaping <ul><li>Partner with business leaders to identify high-value analytics, data science, and AI opportunities.</li><li>Prioritize and deliver data-driven use cases aligned with business goals and measurable value.</li><li>Establish a demand management framework to connect business needs with data capabilities.</li></ul> One Data Platform Adoption <ul><li>Drive adoption of enterprise data platforms, ensuring alignment with BU requirements.</li><li>Serve as a strategic advisor on data integration and self-service analytics.</li><li>Collaborate with technology teams to improve data accessibility, governance, and security.</li></ul> Legacy System Reduction &amp; Modernization <ul><li>Collaborate across IT and Data Engineering to retire legacy systems and migrate to modern platforms.</li><li>Track KPIs for system decommissioning and infrastructure optimization.</li><li>Oversee seamless data migrations while controlling costs.</li></ul> Data &amp; AI Literacy / Culture Building <ul><li>Lead initiatives to improve Data &amp; AI literacy, enabling confidence in data-driven decisions.</li><li>Develop and execute training strategies for self-service analytics adoption.</li><li>Foster a data-first culture by sharing success stories and best practices across the BU.</li></ul> Requirements: Qualifications &amp; Experience <ul><li>5+ years in data and analytics leadership roles with proven AI/ML adoption experience.</li><li>Strong ability to translate business needs into data strategies with measurable outcomes.</li><li>Expertise in enterprise data platforms, cloud architectures, and AI/ML technologies.</li><li>Experience in data governance, compliance, and AI ethics.</li><li>Skilled at engaging and influencing executives and cross-functional teams.</li><li>Proven success in driving organizational change and data literacy programs.</li><li>Preferred: experience in manufacturing, operations, or supply chain.</li><li>Familiarity with modern platforms such as Databricks, Snowflake, Azure, AWS, or GCP.</li></ul>

Responsibilities: <ul><li>Contribute to planning, estimation, and refinement of stories, epics, and design changes as part of an Agile Scrum team.</li><li>Build out test strategies and plans to cover new areas of functionality, ensuring all necessary testing is performed.</li><li>Refine acceptance criteria into testable units and convert those into automated tests that execute efficiently and reliably.</li><li>Integrate automated tests with CI/CD pipelines and ensure successful automation as part of our standard build process.</li><li>Occasional manual testing when automation is not an option.</li><li>Report, reproduce, and help development resolve defects, emphasis on troubleshooting, root cause analysis, and prevention of similar issues in the future.</li><li>Freely debate ideas and rally behind decisions.</li><li>Pushing for continual improvement in everything we do.</li><li>Apply technology trends and industry innovations to our products and take initiatives.</li><li>Utilizing and embracing AI tools to assist in Quality Engineering activities.</li></ul> Requirements: <ul><li>Domain experience in Quality Engineering, especially automated testing.</li><li>Experience test planning and breaking down stories/requirements into testable units.</li><li>Full-stack experience in automated testing, validating both front-end and back-end interfaces, including RESTful API endpoints and web-based user interfaces.</li><li>Solid object-oriented programming skills and string experience automating in Java, JavaScript, typescript or similar.</li><li>Experience on building and scaling tests using frameworks like Junit/TestNg and/or Cypress/Playwright.</li><li>Experience/familiarity working with public cloud, especially AWS and utilising its SDK to interact with Cloud Services for testing.</li><li>Familiarity working with databases and an ability to incorporate database-side validation into automated tests.</li><li>Experience with CI/CD pipelines, especially using Jenkins and working with pipelines.</li><li>Some working knowledge of Microsoft Exchange, Microsoft 365, Azure Active Directory, and Windows Server.</li><li>Experience/knowledge in leveraging AI tools in building agents, using for reviews and generating skeleton code.</li><li>Some experience/familiarity with performance/scalability testing.</li><li>Bias for action and problem solving – eagerness to take initiative and make things happen.</li></ul>

Responsibilities: <ul><li>Setup and Configuration. Deploy and configure M365 services, including Teams, Exchange Online, Windows 10/11 Deployment and Intune.</li><li>Implement security and compliance policies to ensure data classification and compliance.</li><li>Conduct Proof of Concept (POC), new product evaluations and fitment.</li><li>Configure and manage user accounts, licenses, and permissions.</li></ul> Management and Operation: <ul><li>Monitor and maintain the health and performance of M365 services.</li><li>Troubleshoot and resolve issues related to M365 services and applications.</li><li>Perform regular updates and maintenance to ensure optimal performance and security.</li></ul> Collaboration and Support: <ul><li>Work closely with other IT teams to integrate M365 services with existing systems and applications.</li><li>Provide technical support and guidance to end-users and other IT staff.</li><li>Conduct training sessions and create documentation to help users effectively utilize M365 services.</li></ul> Continuous Improvement: <ul><li>Stay up-to-date with the latest M365 features, updates, and best practices.</li><li>Identify opportunities for process improvements and automation to enhance efficiency and productivity</li><li>Participate in the planning and lead execution of M365-related projects and initiatives.</li></ul> Requirements: Additional Requirement details - Microsoft 365 Certified: <ul><li>Enterprise Administrator Expert or other relevant certifications.</li><li>roven experience in setting up, configuring, managing, and operating M365 tenant and workloads.</li><li>Strong knowledge of Microsoft 365 services, including Teams, Exchange Online, Windows 10/11 Deployment and Intune.</li><li>Experience with PowerShell scripting for automation and management tasks.</li><li>Experience with hybrid M365 environments and integration with on-premises systems.</li><li>Familiarity with security and compliance features in M365, such as Data Loss Prevention (DLP), Conditional Access, and Multi-Factor Authentication (MFA).</li><li>Knowledge of Azure Active Directory and related identity management solutions.</li><li>Excellent problem-solving and troubleshooting skills.</li><li>Strong communication and interpersonal skills.</li><li>Ability to work independently and as part of a team.</li></ul> Educational Qualification: <ul><li>Bachelor’s Degree in Computer Science, Information Technology or related field</li></ul> Experience: <ul><li>Minimum 5 to 6 years in EUC environment.</li><li>2 to 3 years of experience with skilled and experienced M365 Engineer and responsible for setting up, configuring, managing, and operating our M365 tenant and workloads. This role requires a deep understanding of Microsoft 365 services.</li></ul>

Responsibilities: Test Strategy &amp; Planning:&nbsp; <ul><li>Within its Product Area, develop and execute comprehensive test strategies that cover end-to-end test execution either for new feature or to rollout complex digital products. This includes Unit Tests, System Integration Testing (SIT), User Acceptance Testing (UAT), and Smoke Tests, with an emphasis on quality, alignment with requirements, and overall test coverage.</li><li>Hands-on Coordination &amp; Test Execution: Lead and coordinate hands-on test execution activities, ensuring tests are performed on time, within scope, and to the highest quality standards. This includes driving functional and non-functional testing activities across the team.&nbsp;</li><li>Unblocking the team whenever needed, taking tactical discussions with multiple stakeholders. </li><li>Drive main testing forums within its Product Area such as defect triage. Perform test execution at least 50% of their time.</li></ul> Resource &amp; Deliverable Accountability: <ul><li>while this is an individual contributor role, QALP will functionally manage Test Engineers to ensure test activities are executed successfully.</li><li>Oversee resource planning, track test execution status, and ensure test deliverables are completed on schedule. </li><li>Ensure that the test plan is followed, and any test issues are identified and resolved in a timely manner.</li></ul> Acceptance Criteria &amp; Sign-off:&nbsp; <ul><li>Ensure all User Stories have acceptance criteria as part of DoR.&nbsp;</li><li>Define clear acceptance criteria for each test phase of Major initiatives and country rollouts for CDI solutions.&nbsp;</li><li>Ensure acceptance criteria are met prior to sign-offs forums, maintaining transparency with stakeholders and ensuring business objectives are met.</li></ul> Timely Delivery:&nbsp; <ul><li>Given the critical nature of delivery timelines, ensure all testing phases and deliverables are completed on time.&nbsp;</li><li>Manage any risks that could delay the testing process, collaborating with stakeholders to mitigate potential impacts to project timelines and company targets.</li></ul> Collaboration &amp; Cross-Functional Engagement:&nbsp; <ul><li>Partner with Product Managers, Product Owners, Delivery Leads, Engineering Leads, and Tech Leads to ensure alignment on quality goals and testing requirements across multiple Agile Release Trains.&nbsp;</li><li>Functionally report to Delivery Leads on Major initiatives.</li></ul> Test Process &amp; Continuous Improvement:&nbsp; <ul><li>Drive best practices in test processes, tools, and methodologies.&nbsp;</li><li>Ensure full adoption of testing tooling for planning, execution and reporting. </li><li>Foster continuous improvement by regularly evaluating and optimizing the testing lifecycle to enhance efficiency and effectiveness.</li></ul> Reporting &amp; Documentation:&nbsp; <ul><li>Prepare and deliver comprehensive test execution status reports and communicate results and risks to key stakeholders. </li><li>Maintain thorough documentation of test plans, results, defects, and other critical test artifacts</li></ul> Test Data &amp; Automation:&nbsp; <ul><li>Together with Product Managers and Product Owners maintain the test data repository for their Product Area.&nbsp;</li><li>In addition to that, continuously identify potential candidates for test automation and collaborate with Tech Lead for QA Automation in order to prioritize tech enablers for upcoming PI-Plannings.</li></ul> Requirements: <ul><li>Solid experience (5+ years) in driving test planning, particularly in a multiple technology domain such as E-commerce/CRM/ERP rollouts.</li><li>Proven hands-on experience with end-to-end test execution, including SIT, UAT, and Smoke Tests.</li><li>Exposure to both manual and automated test execution methods, including experience in driving test automation initiatives.</li><li>Strong understanding of on-prem solutions, API integrations, and cloud-native solutions (AWS, Azure, etc.).</li><li>Experience working in a Scaled Agile Framework (SAFe) environment and with Agile Release Trains is highly preferred.</li><li>Ability to functionally manage Test Engineers, guiding them through testing phases while maintaining accountability for the overall test process.</li><li>Strong knowledge of acceptance criteria and the ability to ensure that they are met at every stage of the testing process.</li><li>Excellent communication and interpersonal skills, with the ability to work cross-functionally and influence stakeholders at all levels.</li><li>Experience with test management tools (e.g., Jira, TestRail) and version control systems.</li><li>Bachelors degree in Computer Science, Engineering, or related field, or equivalent experience.</li><li>Certifications in Software Testing (e.g., ISTQB, SAFe) are a plus.</li><li>Exposure to cloud-based testing and experience with tools like Selenium, JUnit, TestNG is advantageous.</li></ul>

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17 azure Jobs found

Senior Machine Learning Engineer (Production & MLOps Focus)

Partner Solutions Engineer - IOT

Senior AI Engineer

DevSecOps Engineer

Lead DevSecOps Engineer

Software Quality Engineer

Analytics Lead (AD&M Business Unit)

Software Development Engineer in Test

EUC Consultant M365

QA Lead

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17 azure Jobs found

Senior Machine Learning Engineer (Production & MLOps Focus)

Partner Solutions Engineer - IOT

Senior AI Engineer

DevSecOps Engineer

Lead DevSecOps Engineer

Software Quality Engineer

Analytics Lead (AD&M Business Unit)

Software Development Engineer in Test

EUC Consultant M365

QA Lead

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

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Contact Us

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.