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business analyst, aces central programs

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senior devops engineer, ai4all

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senior full stack developer, ai4all

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business teacher postsecondary ai training

Alignerr

<div>
 
 About The Role
 
 
 
 We're looking for experienced postsecondary Business instructors to help shape the next generation of AI. Your classroom expertise will directly influence how AI understands, explains, and applies core business concepts &mdash; from strategy and management to operations and finance.
 
 
 This is a fully remote, flexible contract role. You set your schedule and work asynchronously on meaningful projects that put your teaching skills to real use.
 
 
 <ul>
 <li>
 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and review business questions, case studies, and scenarios used to train AI systems
 </li>
 <li>
 Evaluate AI-generated business content for accuracy, clarity, and real-world relevance
 </li>
 <li>
 Provide structured, detailed feedback to improve AI reasoning, explanations, and examples
 </li>
 <li>
 Apply your teaching experience to validate complex scenarios and edge cases
 </li>
 <li>
 Work independently and asynchronously to meet project milestones
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience teaching business at the postsecondary level
 </li>
 <li>
 Strong command of core business topics including management, strategy, operations, and finance
 </li>
 <li>
 Able to clearly articulate and evaluate business reasoning in written form
 </li>
 <li>
 Detail-oriented, self-motivated, and comfortable working independently
 </li>
 <li>
 No prior AI experience required &mdash; your subject matter expertise is what matters
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Master's degree in Business, Management, or a related field
 </li>
 <li>
 Industry or applied business experience beyond the classroom
 </li>
 <li>
 Familiarity with AI, content evaluation, or instructional design workflows
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects with top research labs
 </li>
 <li>
 Fully remote and flexible &mdash; work on your own schedule
 </li>
 <li>
 Freelance perks: autonomy, variety, and global collaboration
 </li>
 <li>
 Make a direct, lasting impact on how AI understands the business world
 </li>
 <li>
 Potential for ongoing work and contract extension
 </li>
 </ul>
</div>

Business Teacher (Postsecondary – AI Training)

<div>
 
 About The Role
 
 
 
 We're looking for finance lecturers and economists to help shape how the next generation of AI systems understands financial and economic reasoning. Your expertise will directly influence how AI explains valuation, risk, market behavior, and more &mdash; making a real impact on the quality and trustworthiness of AI in one of the world's most consequential domains.
 
 
 <ul>
 <li>
 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Type: Hourly / Task-based Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate finance-related questions, answers, and explanations used in AI training
 </li>
 <li>
 Assess the accuracy and clarity of concepts such as corporate valuation, risk modeling, and market behavior
 </li>
 <li>
 Identify common misconceptions and logical gaps in AI-generated financial reasoning
 </li>
 <li>
 Provide structured, actionable feedback to improve the quality and reliability of AI outputs
 </li>
 <li>
 Work independently and asynchronously on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience teaching finance or economics at the postsecondary level
 </li>
 <li>
 Strong command of corporate finance, financial markets, or financial economics
 </li>
 <li>
 Ability to evaluate written financial reasoning with precision and clarity
 </li>
 <li>
 Comfortable reviewing and rating structured content at scale
 </li>
 <li>
 Self-motivated and reliable when working independently
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Graduate degree in Finance, Economics, or a related field
 </li>
 <li>
 Industry or applied finance experience (investment banking, asset management, consulting, etc.)
 </li>
 <li>
 Familiarity with AI systems, model evaluation, or data annotation workflows
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects with top research labs
 </li>
 <li>
 Fully remote and flexible &mdash; work on your own schedule
 </li>
 <li>
 Freelance perks: autonomy, variety, and global collaboration
 </li>
 <li>
 Use your teaching expertise to shape how AI reasons about finance at a global scale
 </li>
 <li>
 Potential for ongoing work and contract extension
 </li>
 </ul>
</div>

Finance Lecturer (AI Training)

<div>
 
 About The Role
 
 
 
 We're looking for experienced entrepreneurship educators and business experts to help shape how AI understands startups, innovation, and business planning. Your real-world expertise will directly influence the quality and accuracy of AI systems used by millions &mdash; making a meaningful impact on how the next generation of AI thinks about business.
 
 
 <ul>
 <li>
 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated startup and entrepreneurship scenarios for accuracy and practical relevance
 </li>
 <li>
 Assess business models, assumptions, and go-to-market logic against real-world standards
 </li>
 <li>
 Identify unrealistic financial projections, flawed reasoning, or unsound strategic advice
 </li>
 <li>
 Provide clear, structured feedback that improves the quality of AI training content
 </li>
 <li>
 Work independently and asynchronously on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience teaching entrepreneurship, small business, or startup strategy
 </li>
 <li>
 Strong grasp of business model design and early-stage decision-making
 </li>
 <li>
 Skilled at critically evaluating written business plans, pitch decks, and strategic scenarios
 </li>
 <li>
 Comfortable delivering applied, practical feedback grounded in real-world experience
 </li>
 <li>
 Self-motivated and reliable when working independently on deadline-driven tasks
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 MBA or graduate degree with an entrepreneurship focus
 </li>
 <li>
 Experience as a founder, operator, or startup advisor
 </li>
 <li>
 Familiarity with AI systems or content evaluation workflows
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects with top research labs
 </li>
 <li>
 Fully remote and flexible &mdash; work on your own schedule
 </li>
 <li>
 Freelance perks: autonomy, variety, and global collaboration
 </li>
 <li>
 Contribute to meaningful work that shapes how AI understands the world of business
 </li>
 <li>
 Potential for ongoing work and contract extension
 </li>
 </ul>
</div>

Entrepreneurship Instructor (AI Training)

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 
 About the AI Factory Team
 
 
 
 The
 
 AI Factory
 
 team builds intelligent software tools and platforms that empower our business teams &mdash; including
 
 Marketing, Operations, and Sales
 
 &mdash; to leverage AI for productivity, automation, and data-driven decision-making.
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a
 
 Software Engineer with strong AI/ML experience
 
 to join our AI Factory team.
 
 
 You&rsquo;ll work on designing, developing, and deploying scalable, production-grade applications that integrate
 
 Large Language Models
 
 ,
 
 Generative AI
 
 , and
 
 data pipelines
 
 .
 
 
 You will collaborate closely with data scientists, AI researchers, and business stakeholders to turn ideas into impactful AI-powered software products.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop end-to-end AI-powered applications and internal tools for business teams.
 </li>
 <li>
 Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
 </li>
 <li>
 Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
 </li>
 <li>
 Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
 </li>
 <li>
 Deploy, monitor, and maintain applications using Docker and Kubernetes.
 </li>
 <li>
 Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
 </li>
 <li>
 Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.
 </li>
 <li>
 Stay updated on the latest trends in AI/ML, Generative AI, and LLM frameworks (LangChain, LlamaIndex, etc.).
 
 
 </li>
 </ul>
 
 About You
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 3+ years of professional experience as a Software Engineer.
 </li>
 <li>
 Strong full-stack development skills:
 </li>
 <ul>
 <li>
 Frontend: React, TypeScript/JavaScript.
 </li>
 <li>
 Backend: Python (FastAPI or Flask).
 </li>
 </ul>
 <li>
 Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of RESTful APIs, microservices, and system design.
 </li>
 <li>
 Strong problem-solving skills, with a collaborative and pragmatic mindset.
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar LLM frameworks.
 </li>
 <li>
 Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
 </li>
 <li>
 Exposure to MLOps and AI model lifecycle management.
 </li>
 <li>
 Familiarity with prompt engineering and AI agent frameworks.
 </li>
 <li>
 Experience building internal tools or platforms for cross-functional teams
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Full Stack AI Software Engineer

Finaira

<div>
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives.
 
 
 
 Focus:
 
 End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineer
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What you will bring to the role:
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
 <li>
 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes)
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures
 </li>
 <li>
 Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership
 </li>
 <li>
 Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives
 </li>
 <li>
 Strong mentoring and coaching skills, with a passion for developing the talents of junior team members
 </li>
 <li>
 Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Principal AI Engineer

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a
 
 Full Stack AI Software Engineer with strong AI/ML experience
 
 to join our AI Factory team.
 
 
 You&rsquo;ll work on designing, developing, and deploying scalable, production-grade applications that integrate
 
 Large Language Models
 
 ,
 
 Generative AI
 
 , and
 
 data pipelines
 
 .
 
 
 You will collaborate closely with data scientists, AI researchers, and business stakeholders to turn ideas into impactful AI-powered software products.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop end-to-end AI-powered applications and internal tools for business teams.
 </li>
 <li>
 Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
 </li>
 <li>
 Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
 </li>
 <li>
 Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
 </li>
 <li>
 Deploy, monitor, and maintain applications using Docker and Kubernetes.
 </li>
 <li>
 Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
 </li>
 <li>
 Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.
 
 
 </li>
 </ul>
 Stay updated on the latest trends in
 
 AI/ML
 
 ,
 
 Generative AI
 
 , and
 
 LLM frameworks
 
 (LangChain, LlamaIndex, etc.)
 
 
 
 About You
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 7+ years of professional experience as a Software Engineer.
 </li>
 <li>
 Strong leadership skills
 </li>
 <li>
 Strong full-stack development skills:
 </li>
 <li>
 Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of RESTful APIs, microservices, and system design.
 </li>
 <li>
 Strong problem-solving skills, with a collaborative and pragmatic mindset.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar LLM frameworks.
 </li>
 <li>
 Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
 </li>
 <li>
 Exposure to MLOps and AI model lifecycle management.
 </li>
 <li>
 Familiarity with prompt engineering and AI agent frameworks.
 </li>
 <li>
 Experience building internal tools or platforms for cross-functional teams.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Senior Full Stack AI Software Engineer

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Your day-to-day missions
 </li>
 <li>
 You contribute to the design, deployment and operation of AI platforms, ensuring reliability, scalability and security in production environments.
 </li>
 <li>
 You work closely with data scientists, data engineers and infrastructure teams to industrialize AI use cases on cloud and hybrid platforms.
 </li>
 <li>
 You implement and maintain the tooling and pipelines required for model training, evaluation, deployment and monitoring (MLOps).
 </li>
 <li>
 You help automate and standardize platform services (templates, CI/CD, infrastructure as code) to accelerate delivery while keeping quality high.
 </li>
 <li>
 You participate in incident analysis and continuous improvement of the AI platform, contributing to a strong reliability and performance culture.
 </li>
 <li>
 Occasional missions and example projects
 </li>
 <li>
 You may contribute to the rollout of new AI platform features (for example, GPU-based training environments, feature stores or model registries).
 </li>
 <li>
 You can be involved in migration projects to new cloud services or new AI frameworks, in collaboration with architecture and security teams.
 </li>
 <li>
 You may participate in internal communities of practice, tech talks or proof-of-concept projects around emerging AI technologies.
 </li>
 <li>
 Skills you will develop This position offers you the opportunity to deepen your expertise in AI platform engineering, from build to run. You will strengthen your skills in cloud environments, containerization, MLOps and observability, while gaining experience on real-life, large-scale AI use cases. You will also develop your ability to collaborate with cross-functional teams, translate data science needs into robust platform services, and grow your autonomy and technical leadership in an international and agile environment.
 </li>
 <li>
 Benefits of the role You will work at the heart of Orange Business&rsquo; AI platforms, contributing directly to projects that matter for our customers and internal stakeholders. You will evolve in a modern, cloud-centric environment, with access to cutting-edge AI and platform technologies. You will benefit from a flexible working environment and a culture that values continuous learning, knowledge sharing and innovation.
 </li>
 <li>
 Career perspectives In the medium term, this role can open up opportunities towards more senior positions such as Senior AI Platform Engineer, MLOps Lead or Platform Tech Lead. You will also be able to move towards roles focused on architecture or technical leadership on AI and data platforms, depending on your aspirations and strengths.
 </li>
 <li>
 The team You will join an international team combining diverse expertise in data, AI, cloud and platform engineering. You will work on visible and impactful projects, in an environment that encourages collaboration, technical excellence and mutual support. You will be surrounded by colleagues who are keen to share knowledge and help you grow.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Experience and education |You have between 3 and 5 years of professional experience in a relevant technical role (for example: platform engineer, DevOps engineer, data/ML engineer, software engineer) and hold at least a Bachelor&rsquo;s or Master&rsquo;s degree (or equivalent) in computer science, engineering or a related field.
 </li>
 <li>
 Your hard skills
 </li>
 <li>
 Good knowledge of cloud environments (AWS, Azure or GCP) and their managed services for data and AI.
 </li>
 <li>
 Solid experience with containers and orchestration (Docker, Kubernetes) in production contexts.
 </li>
 <li>
 Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools).
 </li>
 <li>
 Familiarity with AI and ML concepts and tools (for example Python-based ML stacks, model serving frameworks, MLOps tools) and a strong motivation to grow further in this area.
 </li>
 <li>
 Understanding of security, reliability and performance considerations for production platforms.
 </li>
 <li>
 Your soft skills You are a team player with good communication skills, able to collaborate smoothly with data scientists, engineers and operations teams. You show rigor, curiosity and a strong willingness to learn, especially in a fast-evolving AI and cloud ecosystem. You are comfortable taking ownership of problems, proposing solutions and iterating in an agile way. Your mindset combines pragmatism and a desire for quality, allowing you to deliver reliable services while continuously improving them.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

AI Platform Engineer

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