Senior Machine Learning Engineer (Production & MLOps Focus)

Partner Solutions Engineer - IOT

Lead AI Engineer

DevSecOps Engineer

Lead DevSecOps Engineer

Software Quality Engineer

Analytics Lead (AD&M Business Unit)

Software Development Engineer in Test

Senior SDET – Microservices Focus

EUC Consultant M365

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>Oversee the design, development, and deployment of AI models and intelligent agents.</li><li>Ensure engineering best practices in model development, testing, and deployment.</li><li>Collaborate with IT and data teams to ensure scalable and secure integration of AI solutions.</li><li>Work closely with business and technical stakeholders to understand requirements and deliver impactful AI solutions.</li><li>Communicate effectively with global teams, bridging technical and business perspectives.</li><li>Support change management and adoption of AI tools across business units.</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&nbsp;</li></ul> Requirements: Basic Qualifications:<ul><li>10+ years of experience in software engineering, data science, AI, or a related field.</li><li>2+ years of experience in leadership role managing technical teams.</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>Bachelor’s or master’s in computer science, Mathematics, Statistics, or a related field.</li></ul> Preferred Qualifications:<ul><li>Experience working in a global enterprise or matrixed organization.</li><li>Familiarity with cloud platforms (Azure, AWS, GCP) and MLOps tools.</li><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Experience in applications to sales, marketing, and market research&nbsp;</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>Contribute to planning, estimation, and refinement of stories, epics, and design changes as part of an Agile Scrum team</li><li>Build out test 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>Pushing for continual improvement in everything we do</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 experience automating in Java, Javascript, or similar</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</li><li>Some working knowledge of Microsoft Exchange, Microsoft 365, Azure Active Directory, and Windows Server</li><li>Some experience/familiarity with performance/scalability testing</li><li>Experience/familiarity working with public cloud, especially AWS</li><li>Bias for action and problem solving – eagerness to take initiative and make things happ</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>

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18 azure deveops Jobs found

Senior Machine Learning Engineer (Production & MLOps Focus)

Partner Solutions Engineer - IOT

Lead AI Engineer

DevSecOps Engineer

Lead DevSecOps Engineer

Software Quality Engineer

Analytics Lead (AD&M Business Unit)

Software Development Engineer in Test

Senior SDET – Microservices Focus

EUC Consultant M365

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18 azure deveops Jobs found

Senior Machine Learning Engineer (Production & MLOps Focus)

Partner Solutions Engineer - IOT

Lead AI Engineer

DevSecOps Engineer

Lead DevSecOps Engineer

Software Quality Engineer

Analytics Lead (AD&M Business Unit)

Software Development Engineer in Test

Senior SDET – Microservices Focus

EUC Consultant M365

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

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