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RWS Group

<div>
 We are looking for
 
 Speech AI Evaluation Specialist
 
 to support the improvement of AI-generated content in
 
 Arabic
 
 .
 
 
 
 Job Type:
 
 Freelance
 
 
 
 Location:
 
 Egypt (work from home)
 
 
 
 
 Work Schedule:
 
 
 Part-time - 10+ hours per week. Flexible - work whenever you want.
 
 
 
 Start Date:
 
 Immediately
 
 
 
 Duration:
 
 TBC
 
 
 
 Rate:
 
 6 USD per hour
 
 
 
 Help Shape the Future of AI
 
 
 Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today&rsquo;s AI models?
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Participate in short voice conversations with AI models using a designated platform
 </li>
 <li>
 Follow provided scenarios and prompts during interactions
 </li>
 <li>
 Evaluate AI responses based on factors such as relevance, accuracy, clarity, and overall quality
 </li>
 <li>
 Provide objective ratings and feedback according to project guidelines
 </li>
 <li>
 Complete assigned tasks within established quality and productivity expectations
 
 
 
 
 </li>
 </ul>
 
 What we&rsquo;re looking for:
 
 
 
 <ul>
 <li>
 Native-level fluency in Arabic
 </li>
 <li>
 English Proficiency: Fluent or advanced proficiency in English (levels B2-C2)
 </li>
 <li>
 AI &amp; Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling
 
 
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Flexible schedule
 </li>
 <li>
 Opportunity to earn extra income
 </li>
 <li>
 Timely payments
 </li>
 <li>
 The job is ideal for students, part-timers, or stay-at-home parents
 
 
 
 
 </li>
 </ul>
 
 Vendor Type
 
 
 
 When applying, please select the option that best describes your working status.
 
 
 
 Are you a Freelancer or Private Individual?
 
 
 A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does
 
 not
 
 have a business license. If you aren&rsquo;t sure, you are probably a private individual.
 
 
 
 RWS embraces DEI
 
 and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.
 
 
</div>

Speech AI Evaluation Specialist - Arabic (Egypt)

Succedo Labs

<div>
 About Succedo Labs
 
 Succedo Labs is an AI-native product studio helping startups and enterprises launch premium digital products at startup speed.
 
 
 We build:
 
 <ul>
 <li>
 AI Solutions &amp; Automation
 </li>
 <li>
 SaaS Platforms
 </li>
 <li>
 Mobile Applications
 </li>
 <li>
 Data &amp; Analytics Dashboards
 </li>
 <li>
 Custom Software Products
 </li>
 </ul>
 <li>
 
 </li>
 
 We're looking for an exceptional
 
 AI Product Engineer
 
 who can transform ideas into production-ready products using modern AI-powered development workflows.
 
 
 This is not a traditional software engineering role.
 
 
 We're looking for builders who leverage AI to move faster, think like product owners, and ship high-quality products rapidly.
 
 
 
 
 What You'll Do
 <ul>
 <li>
 Build web and mobile applications using AI-assisted development tools.
 </li>
 <li>
 Turn product requirements into working MVPs and production-ready solutions.
 </li>
 <li>
 Collaborate directly with founders, clients, and designers.
 </li>
 <li>
 Design and implement AI-powered features and workflows.
 </li>
 <li>
 Integrate APIs, databases, authentication systems, and third-party services.
 </li>
 <li>
 Continuously improve development speed, quality, and automation.
 </li>
 <li>
 Contribute to technical architecture and product decisions.
 
 </li>
 </ul>
 What We're Looking For
 
 Must Have
 <ul>
 <li>
 Strong experience building modern web applications.
 </li>
 <li>
 Experience with AI-assisted development workflows.
 </li>
 <li>
 Ability to independently build complete products from concept to deployment.
 </li>
 <li>
 Strong problem-solving and product-thinking mindset.
 </li>
 <li>
 Excellent communication skills.
 
 </li>
 </ul>
 Preferred Experience
 <ul>
 <li>
 Replit
 </li>
 <li>
 Cursor
 </li>
 <li>
 OpenAI APIs
 </li>
 <li>
 Claude
 </li>
 <li>
 Supabase
 </li>
 <li>
 Next.js
 </li>
 <li>
 React
 </li>
 <li>
 Vercel
 </li>
 <li>
 PostgreSQL
 </li>
 <li>
 AI Agents &amp; Automation
 
 </li>
 </ul>
 Success Metrics
 <ul>
 <li>
 Speed of product delivery.
 </li>
 <li>
 Quality of shipped solutions.
 </li>
 <li>
 Client satisfaction.
 </li>
 <li>
 Ability to turn ideas into working products quickly.
 </li>
 <li>
 Contribution to improving our AI-native development processes.
 
 </li>
 </ul>
 What We Offer
 <ul>
 <li>
 Competitive salary.
 </li>
 <li>
 Flexible remote work.
 </li>
 <li>
 Opportunity to work on innovative AI and digital product projects.
 </li>
 <li>
 Direct collaboration with founders and clients.
 </li>
 <li>
 Exposure to startups, enterprise projects, and emerging technologies.
 </li>
 <li>
 Significant growth opportunities as Succedo Labs expands.
 
 </li>
 </ul>
 Why Join Succedo Labs?
 
 We're building a new kind of product studio&mdash;one that combines product thinking, AI, and modern development workflows to launch products faster than traditional teams.
 
 
 If you're excited about building real products, leveraging AI, and working in a fast-moving environment, we'd love to hear from you.
 
 
 📩
 
 Apply at:
 
 hello@succedo.ai
 
 <ul>
 <li>
 
 Subject:
 
 AI Product Engineer &ndash; Succedo Labs
 </li>
 </ul>
</div>

AI Product Engineer

YO IT Consulting

<div>
 
 Job Description
 
 
 
 
 Job Title:
 
 AI Engineer
 
 
 
 Job Type:
 
 Contract
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary:
 
 In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required &mdash; your domain knowledge is what matters.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and optimize robust machine learning models for production environments.
 </li>
 <li>
 Implement and automate end-to-end ML pipelines using CI/CD best practices.
 </li>
 <li>
 Leverage AWS services for scalable AI infrastructure and model deployment.
 </li>
 <li>
 Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability.
 </li>
 <li>
 Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions.
 </li>
 <li>
 Evaluate, preprocess, and frame real-world data problems for effective machine learning applications.
 </li>
 <li>
 Document and communicate findings, solution approaches, and technical decisions with clarity and precision.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proven expertise in machine learning algorithms, model development, and deployment.
 </li>
 <li>
 Strong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects.
 </li>
 <li>
 In-depth experience with CI/CD workflows and automation tools.
 </li>
 <li>
 Hands-on expertise with AWS cloud services for ML applications and data pipelines.
 </li>
 <li>
 Advanced knowledge of Kubernetes for orchestrating containerized ML workloads.
 </li>
 <li>
 Exceptional written and verbal communication skills, with a focus on clear technical documentation and team collaboration.
 </li>
 <li>
 Demonstrated ability to scope, structure, and solve complex, real-world data challenges.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
 </li>
 <li>
 Experience working in high-growth or startup environments.
 </li>
 <li>
 Strong publication record or contributions to open-source AI projects.
 </li>
 </ul>
</div>

AI Engineer - Remote

<div>
 
 Overview
 
 
 
 We empower clients to overcome accounting and financial reporting challenges by delivering innovative technology solutions. As part of our Data &amp; AI team in the AI Hub, you will help drive analytics, decision-making, and innovation, contributing to a more agile and efficient finance function. By fostering outstanding leadership and teamwork, we fulfil our commitment to stakeholders and play a pivotal role in building a better working world for our people, clients, and communities.
 
 
 
 The Opportunity
 
 
 
 We are seeking a Senior AI Software Engineer to join our AI Hub, where we rapidly deliver prototypes, proof-of-concepts (PoCs), and minimum viable products (MVPs), as well as delivering production‑grade solutions that bring AI use cases to life. This role demands expertise across both front-end and back-end development, supporting the creation of dynamic AI-driven products such as GenAI-enabled web applications, use case marketplaces, and diagnostic tools. You will be responsible for designing, building, and optimizing end-to-end solutions, translating business requirements into robust, scalable, secure, and accessible web experiences suitable for enterprise production environments.
 
 
 Core Requirements
 
 
 <ul>
 <li>
 5+ years of professional experience delivering enterprise-grade software solutions across backend and frontend systems.
 </li>
 <li>
 Strong hands-on experience building secure, scalable, and maintainable APIs using Python and Node.js, with frameworks such as FastAPI and Fastify.
 </li>
 <li>
 Solid frontend engineering experience with TypeScript, React, and Next.js, following enterprise UI and accessibility standards.
 </li>
 <li>
 Proven experience containerizing, deploying, and operating applications in production using Docker and Kubernetes, with a strong understanding of reliability and scalability.
 </li>
 <li>
 Experience designing, implementing, and maintaining CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps, with automated testing and quality gates.
 </li>
 <li>
 Hands-on experience deploying and operating production workloads on Microsoft Azure, including services such as AKS, Azure Container Apps, Azure Container Registry, and related platform services.
 </li>
 <li>
 Strong understanding and application of software engineering best practices, including SOLID principles, clean architecture, and common enterprise design patterns.
 </li>
 <li>
 Experience working with relational databases such as MS SQL Server and PostgreSQL, including schema design, query optimization, and transactional consistency.
 </li>
 <li>
 Practical experience with vector databases (e.g., Chroma, Milvus, Pinecone) and pgvector, including building and operating Retrieval Augmented Generation (RAG) pipelines in production environments.
 </li>
 <li>
 Ability to collaborate effectively in cross-functional enterprise teams, including product, architecture, security, and cloud/platform teams.
 </li>
 <li>
 Experience working with LLMs and AI platforms, such as Azure OpenAI, OpenAI APIs, or similar enterprise AI services.
 </li>
 <li>
 Familiarity with LLM orchestration frameworks such as LangChain, Semantic Kernel, or equivalent.
 </li>
 <li>
 hands-on experience using AI coding assistants (Claude Code, OpenAI Codex,..etc)
 </li>
 <li>
 Strong documentation skills and experience contributing to architecture decisions, technical standards, and internal best practices.
 </li>
 <li>
 Prior experience mentoring junior engineers or contributing to engineering excellence initiatives.
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Exposure to MLOps or AI platform operations, including model lifecycle management, monitoring, and observability.
 </li>
 <li>
 Experience with event-driven or distributed architecture (e.g., message queues, service buses, async processing).
 </li>
 <li>
 Knowledge of observability and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).
 </li>
 <li>
 Experience working in regulated or compliance-driven environments (e.g., financial services, audit).
 </li>
 <li>
 Familiarity with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates.
 
 
 </li>
 </ul>
 What We Look For
 
 
 We are seeking ambitious builders who excel at transforming ambiguity into impactful digital solutions. You are passionate about AI-driven products, comfortable with rapid prototyping, and motivated by delivering market-relevant, client-centric applications that generate tangible value.
 
 
 What We Offer
 
 
 <ul>
 <li>
 Competitive compensation package, performance-based rewards, and recognition for your contributions.
 </li>
 <li>
 Continuous learning and world-class professional development opportunities.
 </li>
 <li>
 Flexible work arrangements to empower your impact.
 </li>
 <li>
 Coaching, mentorship, and transformative leadership experiences.
 </li>
 <li>
 A diverse, inclusive, and collaborative culture.
 
 
 </li>
 </ul>
 If you meet the above criteria, we encourage you to apply and become part of the exceptional EY experience, where you can shape your future and help us build a better working world.
</div>

Senior Consultant - AI Software Engineer- AI Hub - Cairo

Yassir

<div>
 
 Yassir
 
 is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in
 
 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa
 
 . It is backed (:
 
 $200M in funding
 
 ) by VCs from Silicon Valley, Europe and other parts of the world.
 
 
 We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.
 
 
 Helping usher the continent into a digital economy era. We&rsquo;re not just about serving people - we&rsquo;re about creating a marketplace to bring people what they need while infusing social values.
 
 
 
 About The Role
 
 
 
 We believe that investing in AI will result in scaling our company to create unique value for each and every one of our customers. We are looking for an experienced Product Manager to lead our Artificial Intelligence Initiatives.
 
 
 You will join the team that leads and owns the Product vision and roadmap for AI at Yassir, and you will drive the transformation towards having our marketplace optimized by AI. The AI team works closely with all domains (ride-hailing, delivery, financial services) and joining our team requires challenging the status quo, finding visionary value creation opportunities, and reinventing customer experiences through innovative and pioneering use of AI.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Product Vision: craft a robust strategy to leverage AI at scale in Yassir, work with customers and app domains to understand the marketplace dynamics and identify the AI opportunities
 </li>
 <li>
 Product Lifecycle Management: own the product roadmap and oversee its execution while balancing requirements across products and countries, and maintaining team health. Manage the entire product lifecycle from ideation to launch and ongoing optimization
 </li>
 <li>
 Data-Driven Decision-Making: Utilize data-driven insights to make informed decisions, track key performance indicators (KPIs), and iterate on product features to optimize performance and achieve business objectives. Be an ambassador for the power of Data and AI and contribute to making it a driver of success for the company and your co-workers.
 </li>
 <li>
 Stakeholder Management and Collaboration: foster strong ties with partner teams (across product, marketing, operations, etc.), communicate progress and results, anticipate roadblocks and align objectives across stakeholders. Leadership and culture: Mentor co-workers, create a culture of feedback and trust building, and take an active role in your own growth and of the growth of people around you.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years experience as a Product Manager solving business problems using AI/ML products
 </li>
 <li>
 Demonstrated proficiency in AI technologies, Machine Learning concepts, and a strong technical understanding to effectively communicate and collaborate with development teams
 </li>
 <li>
 Successful track-record managing Products across remote teams
 </li>
 <li>
 Experience in a rapidly growing company in the mobility, on-demand, or delivery space is a plus
 </li>
 <li>
 BSc/MSc in Engineering, Computer Science, Data Science, or relevant field
 
 
 
 </li>
 </ul>
 
 WHY YOU SHOULD JOIN YASSIR
 
 
 
 <ul>
 <li>
 Join one of the fastest-growing tech companies in Africa
 </li>
 <li>
 Have a lasting impact on our company's culture
 </li>
 <li>
 Make a real impact on the world by helping us bring affordable financial and on-demand services to millions of Africans
 </li>
 <li>
 Work on some really hard technical challenges from identity infrastructure for Africans, digital payment networks to complex mapping and routing systems across the continent
 </li>
 <li>
 We are the first Algerian startup to go through Y Combinator program and we&rsquo;re backed by top investors including Unpopular Ventures, Rebel Fund and DainTree.VC
 
 
 
 </li>
 </ul>
 At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.
 
 
 Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together.
 
 
 We look forward to receiving your application!
 
 
 Best of luck,
 
 
 Your Yassir TA Team
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

AI Product Manager

Nextcare

<div>
 
 Job Overview
 
 
 
 The Team Leader will oversee a dual function team supporting Pulse training and medical coding across the MEA region. This role combines operational leadership, stakeholder management, and technical oversight of both Pulse training and medical coding quality.
 
 
 Based in Cairo, the Team Leader will manage a team of platform trainers responsible for onboarding and upskilling providers on Pulse, alongside medical coders who ensure accurate and compliant medical coding services. The role requires a balance of people leadership, process optimisation, and regional coordination to ensure high service quality, regulatory compliance, and continuous improvement in provider experience and coding accuracy.
 
 
 
 What You Do
 
 
 
 Responsibilities will include, but are not limited to, the following:
 
 
 
 Team Leadership &amp; Management
 
 
 
 <ul>
 <li>
 Lead, coach and develop a team of platform trainers and medical coders ensuring cross capability amongst team members
 </li>
 <li>
 Set clear performance objectives and monitor KPIs related to training effectiveness, coding accuracy and service delivery
 </li>
 <li>
 Foster a collaborative, high performance team culture across the team
 
 
 </li>
 </ul>
 
 Pulse Training &amp; Support
 
 
 
 <ul>
 <li>
 Oversee delivery of training programs for providers on Pulse
 </li>
 <li>
 Ensure training materials are accurate, up to date and aligned with system enhancements
 </li>
 <li>
 Monitor provider adoption, engagement and feedback to improve training approaches
 
 
 </li>
 </ul>
 
 Medical Coding
 
 
 
 <ul>
 <li>
 Supervise coding activities to ensure accuracy, consistency and compliance with coding standards
 </li>
 <li>
 Implement quality assurance processes, including audits and feedback loops
 </li>
 <li>
 Support resolution of complex coding queries and escalations
 
 
 </li>
 </ul>
 
 Operational Excellence
 
 
 
 <ul>
 <li>
 Drive continuous improvement initiatives across training and coding workflows including the cross training of all staff in the team
 </li>
 <li>
 Identify inefficiencies and implement scalable solutions to enhance productivity and quality
 </li>
 <li>
 Maintain documentation of processes, guidelines and best practices
 
 
 </li>
 </ul>
 
 Stakeholder Management
 
 
 
 <ul>
 <li>
 Collaborate with internal teams including Claims Automation, Quality, Policy Management and others
 </li>
 <li>
 Act as a key point of contact for regional stakeholders
 </li>
 <li>
 Support communication of system updates, code changes and operational impacts
 
 
 </li>
 </ul>
 
 Reporting &amp; Governance
 
 
 
 <ul>
 <li>
 Track &amp; report on key performance indicators, including training outcomes and coding accuracy
 </li>
 <li>
 Ensure compliance with internal policies and external regulatory requirements
 </li>
 <li>
 Provide insights and recommendations to senior management
 </li>
 <li>
 AI READINESS Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data, analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use.
 
 
 </li>
 </ul>
 At Allianz Partners, Artificial Intelligence (AI) is transforming service delivery and innovation. By leveraging Business Intelligence and Data Analytics, we enhance strategic decision-making and customer experiences. Our commitment to Ethical AI ensures responsible deployment, maintaining data integrity and trust. Conversational AI improves communication, while Emerging Technologies and Generative AI drive industry leadership and new opportunities. With robust Information Security Management, we protect sensitive information, ensuring compliance and security. Embrace the future of AI with Allianz Partners, where possibilities become realities.
 
 
 
 What You Bring
 
 
 
 To be successful in this position you will need to have the following skills / experience:
 
 
 
 Essential
 
 
 
 <ul>
 <li>
 Minimum degree level qualification in relevant healthcare or related field
 </li>
 <li>
 Previous experience in medical coding, healthcare operations or medical insurance
 </li>
 <li>
 Strong knowledge of coding standards
 </li>
 <li>
 Previous experience in a leadership or supervisory role
 </li>
 <li>
 Fluency in English and Arabic
 
 
 </li>
 </ul>
 
 Desirable
 
 
 
 <ul>
 <li>
 Professional certification in medical coding
 
 
 </li>
 </ul>
 
 Personal Attributes
 
 
 
 <ul>
 <li>
 Results driven and pragmatic, focused on achieving measurable outcomes.
 </li>
 <li>
 Confident communicator and facilitator, able to build trust across diverse stakeholder groups.
 </li>
 <li>
 Collaborative and resilient, thriving in a dynamic and fast moving environment.
 
 
 </li>
 </ul>
 
 How We Hire
 
 
 
 
 
 Agency Statement
 
 
 
 Allianz Partners does not accept unsolicited CV&rsquo;s or approaches from agencies. We only work with partners on our approved supplier list, under contract. Any unsolicited submission will not be considered.
 
 
 
 
 What We Offer
 
 
 
 Allianz Partners is a world leader in B2B2C insurance and assistance, offering global solutions that span international health and life, travel insurance, automotive and assistance. Customer driven, our innovative experts are redefining insurance services by delivering future-ready, high-tech high-touch products and solutions that go beyond traditional insurance. Our products are embedded seamlessly into our partners&rsquo; businesses or sold directly to customers, and are available through four commercial brands: Allianz Assistance, Allianz Automotive, Allianz Travel and Allianz Care.
 
 
 97278 | Project Management | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent
 
 
 Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
 
 
 At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.
 
 
 We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
 
 
 
 Join us.
 
 Let's care for tomorrow.
 
 
 Note: Having different strengths, experiences, perspectives and approaches is an integral part of Allianz&lsquo; company culture. One means to achieve this is a regular rotation of Allianz Executive employees across functions, Allianz entities and geographies. Therefore, the company expects from its employees a general openness and a high motivation to regularly change positions and collect experiences across Allianz Group.
</div>

Team Lead - Pulse & Medical Coding

Cegedim

<div>
 
 Votre Mission Chez Cegedim
 
 
 
 Join us in building the infrastructure that powers next-generation AI solutions.At Cegedim Academy, we're looking for passionate MLOps Engineering Interns to work alongside experienced mentors and talented peers on real-world AI and machine learning platforms. As part of the internship, you'll contribute to building scalable, reliable, and production-ready systems that support the deployment and operation of AI solutions.This is a hybrid, fast-paced environment where innovation, collaboration, and continuous learning are encouraged. You'll gain hands-on experience with modern cloud and MLOps technologies while helping deliver AI systems at scale.
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Build and maintain machine learning deployment pipelines
 </li>
 <li>
 Automate model training, testing, and deployment workflows
 </li>
 <li>
 Implement CI/CD practices for machine learning applications
 </li>
 <li>
 Monitor model performance, reliability, and data drift in production
 </li>
 <li>
 Manage cloud infrastructure supporting AI workloads
 </li>
 <li>
 Improve observability, governance, and reproducibility of ML systems
 </li>
 <li>
 Collaborate with AI Engineers, Software Engineers, and mentors throughout the project lifecycle
 </li>
 <li>
 Learn industry best practices for operating machine learning systems
 
 
 </li>
 </ul>
 What We're Looking For
 
 
 Currently pursuing or recently completed (2025 or 2026) a degree in:
 
 
 <ul>
 <li>
 Computer Science
 </li>
 <li>
 Computer Engineering
 </li>
 <li>
 Artificial Intelligence
 </li>
 <li>
 Data Science or related fields
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Strong programming skills in Python
 </li>
 <li>
 Understanding of software engineering and DevOps fundamentals
 </li>
 <li>
 Familiarity with Docker and containerization concepts
 </li>
 <li>
 Knowledge of CI/CD pipelines and version control systems
 </li>
 <li>
 Interest in cloud computing and machine learning operations
 </li>
 <li>
 Familiarity with Kubernetes, MLflow, Airflow, GitHub Actions, GitLab CI, AWS, Azure, or GCP is a plus
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong teamwork, communication, and problem-solving skills
 </li>
 <li>
 Curiosity, initiative, and a willingness to learn
 </li>
 <li>
 Ability to work in a collaborative environment
 
 
 </li>
 </ul>
 Why Join Us?
 
 
 <ul>
 <li>
 Work on real-world AI infrastructure and deployment challenges
 </li>
 <li>
 Receive mentorship from experienced professionals
 </li>
 <li>
 Gain practical experience with modern MLOps tools and cloud platforms
 </li>
 <li>
 Collaborate in a supportive and innovative environment
 </li>
 <li>
 Build skills that prepare you for a career in MLOps and Cloud Engineering
 </li>
 </ul>
</div>

MLOps Engineering Intern

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