ai / emerging tech security analyst

ai / ml engineer

ai and automation analyst

ai engineer - remote

ai emerging tech security analyst

<div>
 
 
 We're Hiring: AI &amp; Automation Analyst
 
 
 
 We are looking for an
 
 AI &amp; Automation Analyst
 
 to join our team. This is an exciting opportunity for professionals with a passion for Artificial Intelligence, Machine Learning, and Automation to contribute to innovative solutions that enhance business processes and drive digital transformation.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Analyze business needs and identify opportunities for AI and automation.
 </li>
 <li>
 Design, develop, and implement AI solutions and automated workflows.
 </li>
 <li>
 Build and deploy machine learning models and automation scripts.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver business-driven technology solutions.
 </li>
 <li>
 Prepare, analyze, and manage data to support AI initiatives.
 </li>
 <li>
 Monitor, test, and continuously improve AI and automation solutions.
 </li>
 <li>
 Ensure compliance with data privacy and security standards.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Data Science, or a related field.
 </li>
 <li>
 1&ndash;3 years of experience in AI technologies, Machine Learning, and Automation.
 </li>
 <li>
 Proficiency in Python, R, or Java.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Experience with automation tools and integrating AI solutions into business processes.
 </li>
 <li>
 Certifications in AI, Machine Learning, RPA, or PMP are considered an advantage.
 </li>
 <li>
 Experience within the FMCG industry is a plus.
 </li>
 </ul>
 
 
 
</div>

AI and Automation Analyst

Intellias

<div>
 
 
 Tech Lead Engineer &ndash; AI Registry &amp; Discovery Platform (AWS AgentCore)
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are looking for a
 
 Tech Lead Engineer
 
 to design and lead the implementation of an enterprise-grade
 
 AI Registry and Discovery Platform
 
 for AI agents, tools, and MCP services. This role focuses on service registration, metadata governance, semantic discovery, identity mapping, lifecycle management, and integration with the AWS AgentCore ecosystem.
 
 
 As a technical leader, you will drive the architecture and development of a scalable platform that enables secure discovery, governance, and lifecycle management of AI capabilities across the enterprise. You will collaborate with platform, security, and AI engineering teams to establish engineering standards, governance processes, and best practices for enterprise AI platforms.
 
 
 The ideal candidate has strong platform engineering expertise, experience building large-scale registry or catalog systems, and a deep understanding of cloud-native architectures, API security, metadata management, and distributed systems.
 
 
 
 
 
 
 Project Overview
 
 
 
 Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 
 
 Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. Our engineering teams develop core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 
 
 As a
 
 Tech Lead Engineer
 
 , you will become part of the
 
 Core Architecture Team
 
 , contributing to the design and implementation of a modern Digital Engineering Enterprise Platform.
 
 
 The platform provides engineering teams with reusable services, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Lead the architecture, design, and implementation of an enterprise AI Registry and Discovery Platform.
 </li>
 <li>
 Design and maintain metadata schemas for MCP servers, AI tools, and agent capabilities aligned with Canonical Contract standards.
 </li>
 <li>
 Build scalable backend services using Python, FastAPI, DynamoDB, and AWS-native technologies.
 </li>
 <li>
 Develop registration, discovery, approval, certification, and lifecycle management workflows for AI agents and MCP services.
 </li>
 <li>
 Design semantic discovery capabilities using vector search, embeddings, and relevance-ranking techniques.
 </li>
 <li>
 Integrate enterprise identity systems and implement Entra Agent ID mapping across AI ecosystems.
 </li>
 <li>
 Implement secure authentication and authorization using OAuth 2.0, JWT, and enterprise identity providers.
 </li>
 <li>
 Design governance processes for onboarding, approval, certification, versioning, deprecation, and retirement of AI services.
 </li>
 <li>
 Develop APIs supporting registry operations, metadata management, discovery services, and governance workflows.
 </li>
 <li>
 Implement secure credential and secret management using HashiCorp Vault and cloud-native security controls.
 </li>
 <li>
 Design observability, auditing, compliance, and operational monitoring capabilities across the registry platform.
 </li>
 <li>
 Collaborate with AI, platform, cloud, and security teams to establish registry standards, governance policies, and engineering best practices.
 </li>
 <li>
 Mentor engineers, provide technical leadership, and support architectural decision-making across the platform.
 </li>
 <li>
 Produce architecture documentation, implementation standards, and technical governance guidelines.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Software Engineering, or a related field.
 </li>
 <li>
 5+ years of backend or platform engineering experience.
 </li>
 <li>
 Experience designing and building enterprise-scale registry, catalog, metadata management, or discovery platforms.
 </li>
 <li>
 Strong Python development experience, including Fast API and backend service development.
 </li>
 <li>
 Experience with AWS services, including AWS Agent Core Registry, Gateway, DynamoDB, and related cloud-native technologies.
 </li>
 <li>
 Experience designing metadata schemas and service registration models.
 </li>
 <li>
 Knowledge of semantic search technologies, vector databases, embeddings, and AI-powered discovery.
 </li>
 <li>
 Experience implementing secure API authentication and authorization using OAuth 2.0 and JWT.
 </li>
 <li>
 Experience integrating governance workflows, approval processes, and lifecycle management into enterprise platforms.
 </li>
 <li>
 Experience integrating enterprise identity providers and identity mapping solutions.
 </li>
 <li>
 Strong understanding of cloud-native architecture, distributed systems, API design, and platform engineering.
 </li>
 <li>
 Excellent leadership, communication, mentoring, and stakeholder management skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Hands-on experience with AWS AgentCore Registry and Gateway.
 </li>
 <li>
 Experience with vector databases such as pgvector, OpenSearch, or similar semantic search technologies.
 </li>
 <li>
 Experience with HashiCorp Vault or enterprise secrets management platforms.
 </li>
 <li>
 Familiarity with MCP (Model Context Protocol) standards and Canonical Contract schema design.
 </li>
 <li>
 Experience implementing observability and distributed tracing solutions.
 </li>
 <li>
 Knowledge of CI/CD pipelines, Infrastructure as Code (IaC), and cloud security best practices.
 </li>
 </ul>
 
 Why Join Us
 
 <ul>
 <li>
 Lead the development of an enterprise AI Registry and Discovery Platform supporting next-generation AI applications.
 </li>
 <li>
 Work with cutting-edge AWS AgentCore technologies, semantic search, and cloud-native architectures.
 </li>
 <li>
 Drive engineering standards, governance, and technical strategy for enterprise AI platforms.
 </li>
 <li>
 Collaborate with experienced AI, platform, and cloud engineering teams on innovative global-scale solutions.
 </li>
 <li>
 Make a significant impact by shaping the future of AI service discovery, governance, and lifecycle management across a large enterprise.
 </li>
 </ul>
 
 
 
</div>

Python Team Lead – AI Registry & Discovery Platform (AWS AgentCore)

Datamatics Technologies

<div>
 Job Description: AI Product &amp; Business Translation Lead
 
 
 Job Title:
 
 AI Product &amp; Business Translation Lead
 
 
 Experience:
 
 9&ndash;12+ Years
 
 
 Location:&nbsp;
 
 
 
 Riyadh - Onsite
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are seeking an experienced
 
 AI Product &amp; Business Translation Lead
 
 with
 
 9&ndash;12+ years of experience
 
 to bridge the gap between business objectives, product strategy, and artificial intelligence capabilities. The ideal candidate will have strong expertise in defining AI use cases, developing AI-driven product strategies, engaging executive stakeholders, and driving successful adoption of AI solutions across organizations.
 
 
 This role requires a strong understanding of business transformation, AI capabilities, product lifecycle management, and the ability to translate complex AI concepts into measurable business outcomes.
 
 Key Responsibilities
 <ul>
 <li>
 Define and prioritize AI use cases aligned with business objectives and strategic goals
 </li>
 <li>
 Develop AI product strategies, roadmaps, and adoption frameworks
 </li>
 <li>
 Collaborate with business leaders, product teams, data scientists, and engineering teams to identify AI opportunities
 </li>
 <li>
 Translate business requirements into actionable AI solutions and product initiatives
 </li>
 <li>
 Evaluate AI opportunities based on business value, feasibility, scalability, and impact
 </li>
 <li>
 Drive stakeholder engagement across business and technology teams
 </li>
 <li>
 Support AI adoption initiatives by creating awareness, enablement plans, and change management strategies
 </li>
 <li>
 Define success metrics and KPIs for AI product initiatives
 </li>
 <li>
 Facilitate communication between technical teams and business stakeholders
 </li>
 <li>
 Support governance, prioritization, and lifecycle management of AI solutions
 </li>
 <li>
 Identify industry trends and emerging AI capabilities to recommend strategic opportunities
 </li>
 </ul>
 Required Technical &amp; Business SkillsAI Use Case Strategy
 <ul>
 <li>
 Strong experience in
 
 AI use case definition
 
 and identification of business opportunities for AI adoption
 </li>
 <li>
 Ability to evaluate AI feasibility, business impact, and implementation roadmap
 </li>
 <li>
 Experience translating AI capabilities into practical business solutions
 </li>
 </ul>
 Product Strategy &amp; Management
 <ul>
 <li>
 Strong experience in
 
 AI product strategy
 
 and roadmap development
 </li>
 <li>
 Experience defining product vision, priorities, success metrics, and adoption strategies
 </li>
 <li>
 Understanding of product lifecycle management and digital transformation initiatives
 </li>
 </ul>
 Stakeholder Engagement
 <ul>
 <li>
 Proven experience managing
 
 stakeholder engagement
 
 across business, technology, and executive teams
 </li>
 <li>
 Ability to communicate complex AI concepts to technical and non-technical audiences
 </li>
 <li>
 Experience facilitating workshops, discovery sessions, and executive discussions
 </li>
 </ul>
 AI Adoption &amp; Change Enablement
 <ul>
 <li>
 Experience driving
 
 AI adoption
 
 across organizations
 </li>
 <li>
 Ability to develop adoption frameworks, training strategies, and business enablement plans
 </li>
 <li>
 Understanding of organizational change management principles
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Computer Science, Business Administration, Artificial Intelligence, Information Systems, or a related field
 </li>
 <li>
 
 9&ndash;12+ years
 
 of experience in AI product management, digital transformation, business strategy, technology consulting, or related roles
 </li>
 <li>
 Strong understanding of AI/ML concepts and enterprise AI adoption challenges
 </li>
 <li>
 Excellent leadership, communication, and stakeholder management skills
 </li>
 <li>
 Proven ability to manage cross-functional initiatives and deliver business outcomes
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience working with Generative AI, Large Language Models (LLMs), and AI-powered products
 </li>
 <li>
 Exposure to cloud AI platforms such as AWS, Azure, or Google Cloud AI services
 </li>
 <li>
 Experience in enterprise transformation programs and innovation initiatives
 </li>
 <li>
 Familiarity with AI governance, responsible AI practices, and risk management
 </li>
 <li>
 Experience working in Agile product development environments
 </li>
 </ul>
 Key Capability Areas
 <ul>
 <li>
 
 AI Strategy:
 
 AI Use Case Definition
 
 and
 
 AI Opportunity Assessment
 
 and
 
 Business Value Mapping
 </li>
 <li>
 
 Product Management:
 
 Product Strategy
 
 and
 
 AI Roadmap Development
 
 and
 
 Adoption Planning
 </li>
 <li>
 
 Stakeholder Management:
 
 Executive Engagement
 
 and
 
 Cross-functional Collaboration
 
 and
 
 Business-Technology Alignment
 </li>
 <li>
 
 AI Adoption:
 
 Change Enablement
 
 and
 
 User Adoption Strategy
 
 and
 
 AI Transformation Initiatives
 </li>
 <li>
 
 Business Translation:
 
 Translating AI Capabilities
 
 and
 
 Driving Measurable Business Outcomes
 
 and
 
 Strategic Decision Support
 </li>
 </ul>
</div>

AI Product & Business Translation Lead

<div>
 
 
 Teleperformance is Hiring: WFM Analyst L2
 
 
 
 Are you passionate about workforce planning, data analysis, and process improvement? Join Teleperformance and help drive operational excellence through workforce optimization and innovation.
 
 
 
 What You'll Do:
 
 
 
 &bull; Analyze workforce data and identify trends to improve efficiency
 
 
 &bull; Develop recommendations to optimize workforce planning and resource utilization
 
 
 &bull; Collaborate with Operations, HR, and IT teams to implement WFM strategies
 
 
 &bull; Drive automation, standardization, and continuous process improvement
 
 
 &bull; Support and train teams on WFM tools and best practices
 
 
 &bull; Monitor performance and contribute to business improvement initiatives
 
 
 &bull; Ensure compliance with company policies and information security standards
 
 
 
 What We're Looking For:
 
 
 
 
 &bull; 2&ndash;5 years of experience in Workforce Management, project management, or process improvement in BPO Industry
 
 
 
 &bull; Bachelor's degree
 
 
 
 &bull; English level: B2 or above
 
 
 
 
 &bull; Hands-on experience working with Alvaria and/or Aspect WFM tools
 
 
 
 &bull; Strong analytical and problem-solving skills
 
 
 &bull; Proficiency in Microsoft Excel, Word, and Outlook
 
 
 &bull; Experience with SQL, BI tools, or Workforce Management software is a plus
 
 
 &bull; Excellent communication and stakeholder management skills
 
 
 &bull; Ability to work in a fast-paced, data-driven environment
 
 
 
 What We Offer:
 
 
 
 &bull; Competitive salary package
 
 
 &bull; Medical and social insurance
 
 
 &bull; Transportation provided
 
 
 &bull; Career growth and development opportunities
 
 
 &bull; Dynamic international work environment
 
 
 
</div>

Workforce Management Analyst

IMPERIUM GROUP

<div>
 
 We are looking for an exceptionally creative and innovative
 
 Creative Content Creator
 
 to join our Marketing team. We are seeking a passionate storyteller who can transform architecture, interior design, landscape, and real estate projects into premium visual content that inspires and engages audiences.
 
 
 This role goes beyond traditional content creation. The ideal candidate will combine creative thinking, AI-powered content creation, professional videography, photography, video editing, graphic design, and digital storytelling to produce high-impact content across all digital platforms.
 
 
 You will be responsible for developing original content ideas, creating compelling visual narratives, leveraging the latest AI technologies to enhance productivity and creativity, and producing premium-quality content that strengthens our brand identity and market presence. Previous experience within architecture, interior design, engineering consultancy, construction, fit-out, or real estate is mandatory.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Develop innovative content concepts and creative campaigns that align with the company's branding and marketing strategy.
 </li>
 <li>
 Generate fresh and engaging content ideas for social media, digital marketing campaigns, project launches, employer branding, and corporate communications.
 </li>
 <li>
 Utilize modern AI tools to enhance content ideation, script writing, image generation, video enhancement, visual storytelling, and creative workflows while maintaining premium quality standards.
 </li>
 <li>
 Capture professional photography and videography of architecture, interior design, landscape, and real estate projects.
 </li>
 <li>
 Produce cinematic project walkthroughs, interviews, testimonials, behind-the-scenes content, promotional videos, and short-form social media content.
 </li>
 <li>
 Edit high-quality videos using professional editing software with advanced transitions, motion graphics, sound design, and visual effects.
 </li>
 <li>
 Design creative marketing materials, digital assets, presentations, advertisements, and social media visuals while maintaining brand consistency.
 </li>
 <li>
 Collaborate closely with architects, interior designers, engineers, project managers, and the marketing team to transform technical projects into engaging visual stories.
 </li>
 <li>
 Develop and execute monthly content calendars and campaign plans.
 </li>
 <li>
 Stay updated with emerging AI technologies, digital trends, social media algorithms, and industry best practices.
 </li>
 <li>
 Organize and manage digital media assets, ensuring consistency across all marketing channels.
 </li>
 <li>
 Support exhibitions, corporate events, project launches, and branding initiatives through creative multimedia production.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Marketing, Multimedia, Graphic Design, Digital Media, Mass Communication, Fine Arts, or a related field.
 </li>
 <li>
 Minimum 7 years of professional experience as a Creative Content Creator, Multimedia Specialist, Digital Content Creator, or similar role.
 </li>
 <li>
 Mandatory experience within Architecture, Interior Design, Engineering Consultancy, Construction, Fit-Out, or Real Estate companies.
 </li>
 <li>
 Strong portfolio demonstrating creative campaigns, professional photography, videography, video editing, graphic design, and digital storytelling.
 </li>
 <li>
 Advanced proficiency in Adobe Premiere Pro, After Effects, Photoshop, Illustrator, Lightroom, and Adobe Creative Suite.
 </li>
 <li>
 Proven experience using AI-powered creative tools for content creation, visual generation, video production, scripting, editing, and workflow optimization.
 </li>
 <li>
 Strong creative thinking and the ability to independently generate original, high-quality content ideas.
 </li>
 <li>
 Excellent photography, videography, lighting, and composition skills.
 </li>
 <li>
 Experience producing premium social media content, cinematic reels, promotional campaigns, and project showcase videos.
 </li>
 <li>
 Strong understanding of branding, digital marketing, content strategy, and audience engagement.
 </li>
 <li>
 Excellent communication, organization, and project management skills.
 </li>
 <li>
 Ability to manage multiple projects while meeting deadlines in a fast-paced environment.
 </li>
 </ul>
 
 
 
</div>

Creative Content Creator

Valeo

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
 </li>
 <li>
 Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
 </li>
 <li>
 Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
 </li>
 <li>
 CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
 </li>
 <li>
 Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
 </li>
 <li>
 Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
 </li>
 <li>
 Oversee the deployment, maintenance, and backup strategies for databases.
 </li>
 <li>
 Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
 </li>
 <li>
 Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
 </li>
 <li>
 5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
 </li>
 <li>
 Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
 
 
 </li>
 </ul>
 
 
 Technical Requirements
 
 
 
 
 <ul>
 <li>
 Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
 </li>
 <li>
 Proven ability to design and implement robust, scalable, and secure cloud architectures.
 </li>
 <li>
 Mastery of Docker and Kubernetes administration.
 </li>
 <li>
 Strong proficiency in Terraform.
 </li>
 <li>
 Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
 </li>
 <li>
 Experience managing PostgreSQL and ClickHouse databases.
 </li>
 <li>
 Deep understanding of Linux System Administration.
 </li>
 <li>
 Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
 </li>
 <li>
 Strong proficiency in Python and Bash scripting.
 </li>
 <li>
 Familiarity with DevSecOps tools and practices.
 </li>
 <li>
 Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
 </li>
 <li>
 Bonus: Knowledge of Javascript/Node.js is a strong plus.
 
 
 </li>
 </ul>
 
 
 Soft Skills &amp; Mindset
 
 
 
 
 <ul>
 <li>
 Ability to design long-term solutions rather than quick fixes.
 </li>
 <li>
 Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
 </li>
 <li>
 Comfortable working in a fast-paced environment with evolving requirements.
 </li>
 <li>
 Fluent English is a must.
 </li>
 </ul>
</div>

Senior DevOps Engineer, AI4ALL

Siemens EDA (Siemens Digital Industries Software)

<div>
 Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design.
 
 
 
 Position Overview
 
 
 
 We are looking for a passionate
 
 AI/ML Software Engineer
 
 to join our technology and innovation team in Cairo, Egypt. You will be responsible for designing, developing, and deploying cutting-edge solutions that leverage modern programming languages, frameworks, and emerging AI/ML technologies. Working on both front-end and back-end development, you'll collaborate with partners and customers to deliver high-quality, cost-effective solutions while driving innovation in Large Language Models, Natural Language Processing, Deep Learning, and Machine Learning&mdash;from concept to deployment.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, test, and deploy web applications and services using modern programming languages, frameworks, and tools for both front-end and back-end development.
 </li>
 <li>
 Develop products and prototypes in one or more of the following areas: Large Language Models (LLMs), Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML).
 </li>
 <li>
 Collaborate with partners and customers to deliver high-quality, cost-effective solutions.
 </li>
 <li>
 Drive the software development lifecycle by owning assigned features from concept to deployment, including design, code reviews, acceptance testing, and release.
 </li>
 <li>
 Produce innovative, high-quality software solutions for development teams and customers.
 </li>
 <li>
 Adhere to Siemens processes, quality standards, and engineering guidelines.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's, Master's, or Ph.D. degree in Computer Engineering, Computer Science, Mathematics, or a related field.
 </li>
 <li>
 Proven experience in developing web applications across diverse industries.
 </li>
 <li>
 Proficiency in one or more programming languages, such as Python, Java, and/or JavaScript. Experience with UI frameworks such as ReactJS and Angular is a plus.
 </li>
 <li>
 Strong understanding of data structures, data modeling, software architecture, and software design principles.
 </li>
 <li>
 Hands-on experience in web, cloud, and mobile application development for AI- and ML-based solutions.
 </li>
 <li>
 Hands-on experience designing and developing software applications for web, cloud, and IoT platforms, such as AWS, Google Cloud, Microsoft Azure, or IBM Bluemix.
 </li>
 <li>
 Experience with machine learning frameworks (e.g., Keras or PyTorch) and libraries (e.g., scikit-learn) is a plus.
 </li>
 <li>
 Knowledge of containerization and orchestration technologies, such as Docker and Kubernetes, is a plus.
 </li>
 <li>
 Passion for writing clean, maintainable, and efficient code.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 
 
 </li>
 </ul>
 
 Why Us
 
 
 
 At Siemens Software, flexibility is how we work&mdash;hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!
 
 
 
 Compensation &amp; Benefits
 
 
 
 The salary range for this position is $23, 900 to $47,800 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: https://jobs.sw.siemens.com/benefits/
 
 
 
 Diversity &amp; Inclusion
 
 
 
 We value equal opportunities and welcome applications from people of all backgrounds. At Siemens, we believe that diversity of thought and experience drives innovation. We are committed to creating an inclusive workplace and ensuring that individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations.
 
 
 Siemens Software. Transform the Everyday
 
 
</div>

AI/ML Software Engineer

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