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ai and automation 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

Valeo

<div>
 ResponsibilitiesAI-Driven Requirement Extraction
 
 
 <ul>
 <li>
 Manage and Do the requirement extraction service for the System and Product Architects Network utilizing the company AI tools. This role demands delivering high-accuracy results with rapid turnaround times to support architectural decision-making.
 
 
 </li>
 </ul>
 
 AI &amp; Intelligent Automation
 
 
 
 <ul>
 <li>
 Leverage AI technologies (e.g., AI agents, NLP, automation assistants) to support:
 </li>
 <li>
 Requirement extraction and analysis
 </li>
 <li>
 Compliance and traceability support
 </li>
 <li>
 Engineering data processing and reporting
 </li>
 <li>
 Propose and implement AI-based solutions to improve productivity and reduce manual effort.
 </li>
 <li>
 Collaborate with system engineers to ensure AI solutions align with engineering standards and quality requirements.
 
 
 </li>
 </ul>
 
 Tooling &amp; Scripting Development
 
 
 
 <ul>
 <li>
 Design, develop, and maintain automation tools according to the defined roadmap.
 </li>
 <li>
 Document high-level requirements and technical specifications for developed tools.
 </li>
 <li>
 Develop scripts and applications to automate repetitive engineering activities (e.g., requirement handling, traceability, reports, metrics).
 </li>
 <li>
 Ensure maintainability by documenting tool architecture, design decisions, and usage guidelines.
 
 
 </li>
 </ul>
 
 Toolchain &amp; ALM Support
 
 
 
 <ul>
 <li>
 Define and support the required toolchain for System Engineering activities.
 </li>
 <li>
 Work with Requirement Management and ALM tools (e.g., Codebeamer, DOORS, Core ALM).
 </li>
 <li>
 Support integrations between tools and data sources when needed.
 
 
 </li>
 </ul>
 Key competencies
 
 Technical Skills
 
 
 
 
 Programming &amp; Scripting
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM: ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling:
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong communication and collaboration skills
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience0 to 2 years experience in tools development
</div>

System Design engineer - AI & Tooling, LIGHT

<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

Mixel-Egypt

<div>
 Mixel, a Silvaco Company, is an innovator of high-performance analog mixed signal semiconductor IPs whose solutions are powering Mobile, Display, Camera, Automotive, VR, AR and AI applications.
 
 
 Our mission is to provide our customers and partners with outstanding mixed-signal, silicon-proven IPs, creating in the process a differentiating technology that sets your products apart.
 
 
 At Mixel, you will find an inspiring environment with a strong focus on technical innovation, people well-being, no layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We value open communication, empathy, mutual trust, and respect.
 
 
 
 Job Description
 
 
 
 The Senior Workday Configuration and HRIS Analyst is the person who makes sure our People systems work the way they should: accurate, efficient, and easy for employees to use. You&rsquo;ll spend part of your time ensuring day-to-day operations run smoothly and part of your time improving on status quo: building new workflows, cleaning up data, and finding ways to make processes less manual and more scalable. We&rsquo;re looking for a Workday HR Analyst who can help us with employee inquiries, implementations, systems builds, and integrations - someone who can take business needs, translate them into system requirements, and deliver solutions that work. Under direction from the Senior Director, HRIS, you&rsquo;ll partner with cross-functional teams to bring new tools online, test changes, and make sure our systems talk to each other the way they should. You will work with partners to solve problems, and guide the rollout of new functionality. You&rsquo;ll train users, create documentation, and keep a close eye on data integrity so our team can make good decisions based on reliable information.
 
 
 <ul>
 <li>
 Translate business needs into system requirements and deliver clean, scalable solutions that improve how we work.
 </li>
 <li>
 Build and maintain integrations between Workday, ATS, compensation and payroll tools, to create smooth, accurate data flow across the company.
 </li>
 <li>
 Identify manual, error-prone processes and lead automation projects that reduce administrative work and improve data accuracy.
 </li>
 <li>
 Own change management for system updates and new technology implementations by creating rollout plans, communications, and training that ensure a smooth transition and strong adoption.
 </li>
 <li>
 Conduct regular system audits, reconciliations, and testing to maintain accurate, compliant, and secure People data.
 </li>
 <li>
 Maintain clear documentation of system configurations, workflows, and policies so they are easy to reference and update as we grow.
 </li>
 <li>
 Stay current on product releases, patches, and industry best practices, proactively recommending opportunities to improve system performance and internal workflows.
 
 
 </li>
 </ul>
 HRIS Management and Technical Support
 
 
 <ul>
 <li>
 Act as an administrator for Workday, including data entry and data maintenance.
 </li>
 <li>
 Troubleshoot issues promptly, document resolutions, and implement preventative measures to avoid repeat problems.
 </li>
 <li>
 Build and maintain Workday dashboards and reports that give the People team, Finance, and leadership clear, actionable insights on headcount, hiring, attrition, compensation, and more.
 </li>
 <li>
 Provide expert support and training to People team members and managers, ensuring they are confident using systems and have what they need to be successful.
 </li>
 <li>
 Maintain the library of job aids, process documentation, and knowledge base articles to enable self-service.
 
 
 </li>
 </ul>
 
 Cross-Functional Partnership
 
 
 
 <ul>
 <li>
 Collaborate with IT, Payroll, Finance, Legal, and Data teams to ensure People systems integrate seamlessly with company infrastructure and support business goals.
 </li>
 <li>
 Partner with People leadership to prioritize system enhancements and technology investments that enable us to scale effectively.
 </li>
 <li>
 Work with cross-functional partners to identify process gaps, test solutions, and implement improvements that make systems more efficient and user-friendly.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 5+ years of experience in IT or HR technology roles, ideally in a high-growth or rapidly changing environment.
 </li>
 <li>
 5+ years hands-on experience with Workday HCM including with configuration, maintenance, integration, and end-to-end implementations.
 </li>
 <li>
 Experience working in a Matrixed environment and/or a multi-national company.
 </li>
 <li>
 Proficiency in Excel and comfort working with structured data, including building reports and dashboards.
 </li>
 <li>
 Strong attention to detail and commitment to data integrity, with experience performing audits and ensuring compliance with data privacy regulations.
 </li>
 <li>
 Excellent organizational and project management skills, able to manage multiple priorities and deadlines.
 </li>
 <li>
 Ability to work independently, troubleshoot issues, and solve problems with minimal direction.
 </li>
 <li>
 Exceptional communication and interpersonal skills, with the ability to explain technical concepts and partner effectively with employees at all levels.
 </li>
 <li>
 Adaptability in a fast-paced work environment, eager to continuously improve systems and processes.
 </li>
 <li>
 Proven ability to analyze complex scenarios and recommend strategic, technology-driven solutions that scale.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 All Mixel, a Silvaco Company salary ranges are determined by role, level and geographic location. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training and additional role-related considerations.
 
 
 Depending on the position offered, equity, bonuses, commission or other forms of compensation may also be provided as part of total compensation package, in addition to full range of medical, financial and other benefits.
 
 
 
 
 WE ARE AN EQUAL OPPORTUNITY EMPLOYER
 
 
 
 
 At Mixel, a Silvaco Company, we do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
 
 
 If you need assistance or an accommodation due to a disability, please contact us at 408.567.1000.
 
 
 https://mixel.com/
</div>

Senior Workday Configuration and HRIS Analyst

<div>
 
 
 About the Role
 
 
 
 
 
 
 We are seeking an experienced AI/ML Developer Level II to join our Innovation &amp; Software Solutions team. In this role, you will be responsible for designing, developing, deploying, and optimizing enterprise-grade conversational AI solutions using the RASA framework, Python, and Google Cloud Platform (GCP). Working closely with cross-functional teams, you will build scalable, production-ready virtual assistants and intelligent automation solutions while driving continuous improvements in machine learning models, NLP performance, and MLOps practices. This is an excellent opportunity for a proactive developer who is passionate about conversational AI, cloud technologies, and delivering innovative AI-powered solutions at scale.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade conversational AI solutions using RASA Open Source and RASA Pro/X.
 </li>
 <li>
 Develop complex dialogue flows, NLU pipelines, custom actions, stories, and rules.
 </li>
 <li>
 Train, evaluate, fine-tune, and optimize NLP models to improve chatbot performance, intent recognition, entity extraction, and user experience.
 </li>
 <li>
 Build clean, scalable, and maintainable backend services and APIs using Python.
 </li>
 <li>
 Deploy, monitor, and manage AI applications on Google Cloud Platform (GKE, Cloud Run, Compute Engine, Pub/Sub, Vertex AI, Dialogflow, Cloud Speech-to-Text, and Text-to-Speech).
 </li>
 <li>
 Integrate conversational AI solutions with enterprise systems and third-party services.
 </li>
 <li>
 Contribute to CI/CD pipelines, automated testing, model versioning, and MLOps best practices.
 </li>
 <li>
 Analyze conversational data using BigQuery and leverage Cloud Storage for managing training datasets and model artifacts.
 </li>
 <li>
 Collaborate within an Agile development environment and mentor junior team members when needed.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related discipline, or equivalent practical experience.
 </li>
 <li>
 Strong hands-on experience with Python and software engineering best practices.
 </li>
 <li>
 Proven experience developing conversational AI solutions using RASA.
 </li>
 <li>
 Hands-on experience with Google Cloud Platform (GCP) services.
 </li>
 <li>
 Strong understanding of Natural Language Processing (NLP) concepts, including intent classification, entity recognition, dialogue management, and context handling.
 </li>
 <li>
 Experience working with machine learning frameworks such as spaCy, scikit-learn, or Transformers.
 </li>
 <li>
 Proficiency with Git and collaborative software development workflows.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 <ul>
 <li>
 Experience with Docker and Kubernetes.
 </li>
 <li>
 Knowledge of Terraform or other Infrastructure-as-Code tools.
 </li>
 <li>
 Experience implementing CI/CD pipelines and MLOps workflows.
 </li>
 <li>
 Google Cloud certifications, particularly Professional Machine Learning Engineer, are highly desirable.
 </li>
 </ul>
 
 
</div>

AI/ML Developer Level II

Datamatics Technologies

<div>
 Job Description: AI / ML Engineer
 
 
 Job Title:
 
 AI / ML Engineer
 
 
 Experience:
 
 3&ndash;11 Years
 
 
 Location:
 
 &nbsp;
 
 
 Riyadh (Onsite)
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are seeking a skilled
 
 AI / ML Engineer
 
 with
 
 3&ndash;11 years of experience
 
 to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.
 
 Key Responsibilities
 <ul>
 <li>
 Design, develop, train, and deploy machine learning and deep learning models for enterprise applications
 </li>
 <li>
 Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment
 </li>
 <li>
 Develop Generative AI and LLM-powered applications using modern AI frameworks
 </li>
 <li>
 Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions
 </li>
 <li>
 Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security
 </li>
 <li>
 Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation
 </li>
 <li>
 Implement MLOps best practices including model versioning, monitoring, and CI/CD automation
 </li>
 <li>
 Stay current with advancements in AI, machine learning, and cloud AI services
 </li>
 </ul>
 Required Technical SkillsCloud AI Platforms
 <ul>
 <li>
 Hands-on experience with
 
 GCP Vertex AI or Azure Machine Learning or AWS SageMaker
 
 </li>
 <li>
 Experience with
 
 Azure OpenAI or AWS Bedrock
 
 for Generative AI solutions
 </li>
 <li>
 Experience with
 
 BigQuery ML and Dataflow
 
 for data processing and machine learning workflows
 </li>
 </ul>
 Programming &amp; Machine Learning
 <ul>
 <li>
 Strong proficiency in
 
 Python
 
 </li>
 <li>
 Experience developing machine learning solutions using
 
 TensorFlow or PyTorch
 
 </li>
 <li>
 Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts
 </li>
 </ul>
 Generative AI &amp; LLM Frameworks
 <ul>
 <li>
 Experience with
 
 Hugging Face and LangChain
 
 for building LLM-powered applications
 </li>
 <li>
 Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred
 </li>
 </ul>
 Data Engineering &amp; Analytics
 <ul>
 <li>
 Experience with
 
 Databricks
 
 for data engineering, model development, and analytics workflows
 </li>
 <li>
 Strong understanding of data preprocessing, feature engineering, and large-scale data processing
 </li>
 </ul>
 MLOps &amp; Deployment
 <ul>
 <li>
 Experience deploying machine learning models into production
 </li>
 <li>
 Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field
 </li>
 <li>
 
 3&ndash;11 years
 
 of professional experience in AI, Machine Learning, or Data Science
 </li>
 <li>
 Strong analytical, mathematical, and problem-solving skills
 </li>
 <li>
 Experience working in Agile development environments
 </li>
 <li>
 Excellent communication and collaboration skills
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience with Large Language Models (LLMs) and Generative AI applications
 </li>
 <li>
 Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents
 </li>
 <li>
 Experience with distributed model training and cloud-native AI architectures
 </li>
 <li>
 Cloud certifications in AWS, Azure, or Google Cloud are a plus
 </li>
 </ul>
 Key Technology Stack
 <ul>
 <li>
 
 Cloud AI:
 
 
 GCP Vertex AI or Azure Machine Learning or AWS SageMaker
 
 </li>
 <li>
 
 Generative AI:
 
 
 Azure OpenAI or AWS Bedrock
 
 
 and
 
 Large Language Models (LLMs)
 </li>
 <li>
 
 Data Processing:
 
 
 BigQuery ML and Dataflow
 
 
 and
 
 Databricks
 </li>
 <li>
 
 Programming:
 
 Python
 </li>
 <li>
 
 Machine Learning Frameworks:
 
 
 TensorFlow or PyTorch
 
 </li>
 <li>
 
 LLM Frameworks:
 
 
 Hugging Face or LangChain
 
 </li>
 <li>
 
 MLOps:
 
 Docker
 
 and
 
 Kubernetes
 
 and
 
 CI/CD (Preferred)
 </li>
 </ul>
</div>

AI / ML Engineer

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 
 Mission
 
 
 
 
 Our mission is to revolutionize existing and new Valeo products, tools and processes by harnessing the power of cutting-edge generative AI. We aim to drive unprecedented efficiency across Valeo product portfolio, reducing development costs and achieving a new level of intelligent automation.
 
 
 Through relentless research, we design and build a robust and adaptable AI framework that seamlessly integrates into our current workflow.
 
 
 We are committed to fostering a collaborative environment where researchers, engineers, and product teams work in unison to explore innovative solutions. We believe that by strategically integrating AI, we can optimize internal processes, streamline workflows, and drive long-term success within Valeo's existing and new product landscape.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop &amp; re-use the core AI components of the framework.
 </li>
 <li>
 Implement APIs, models, optimize for performance, and integrate with adjacent systems.
 </li>
 <li>
 Conduct various testing (Unit Test, API Testing, Load Testing, &hellip;) for the developed components.
 </li>
 <li>
 Document all the developed components.
 </li>
 <li>
 Deploy developed products and maintain them.
 
 
 </li>
 </ul>
 
 
 Education/Training
 
 
 
 
 <ul>
 <li>
 B.Sc. in Communication, Mechatronics, Electronics or Computer Engineering.
 </li>
 <li>
 B.Sc. in Computer science
 
 
 </li>
 </ul>
 
 
 Professional
 
 
 Experience
 
 
 
 
 <ul>
 <li>
 2-5 Years of experience.
 </li>
 <li>
 Knowledge of AI/ML and GenAI.
 </li>
 <li>
 Knowledge and development for cloud platforms (GCP, AWS) is a plus.
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D Engineer
 
 
 
 D&eacute;partement~
 
 
 
 Software Development
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-06-02
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

AI Engineer, AI4ALL

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