Job Type Full time Key Responsibilities: Corporate Development: Identify, evaluate, and execute strategic growth initiatives, including mergers, acquisitions, joint ventures, and partnerships. Conduct comprehensive financial analysis, including financial modeling, valuation, and ROI analysis. Develop strategic recommendations based on industry trends, competitor analysis, and market research. Support due diligence and post-merger integration activities. Collaborate with senior management to identify and assess new business opportunities. Investor Relations: Develop and implement an investor relations strategy to effectively communicate the companys strategic direction and financial performance. Prepare investor presentations, press releases, and earnings call materials. Manage investor communications, including quarterly earnings releases, annual reports, and investor roadshows. Monitor investor sentiment and market trends to provide actionable insights to senior management. Maintain relationships with existing and potential investors, analysts, and key stakeholders. Financial Analysis & Reporting: Develop financial models and forecasting tools to assess the impact of strategic initiatives. Analyze and report on financial performance metrics, including revenue growth, EBITDA, and other key performance indicators. Provide financial insights to support strategic decision-making and business planning. Compliance & Governance: Ensure compliance with regulatory requirements and corporate governance standards. Monitor and report on industry trends, regulatory changes, and competitor activities.

In this role, youll be part of our Data Science team. With a track record of innovation and taking large ML-based products from conception to delivering value, you will be responsible for developing ML and deep learning models to improve innovation within our Knowledge Graph curation. Your success will result in informed decision-making and stakeholder empowerment for Knowledge Graph use cases within Crayon. You will also directly impact the evolution of our content catalogue. Can you say Yes, I have! to the following? 5+ years of experience with developing solutionsusing machine learning, operation research and pattern searching methods onlarge scale data. B.E/B.Tech/MSin Machine Learning, Computer Science,Applied Statistics, Mathematics, or related fields. PhD is a plus Good understanding of statistical models likehierarchical models, stochastic models, time series, survival and econometricmodels Expert in at least one of the deep learningframeworks such as PyTorch, MxNet, or Tensorflow Hands-on experience in using Spark (Scalaor Pyspark) to process data at large scale and database schemadesign for ML pipelines a must Contribution to open-source ML packages/researchpublications will be a huge bonus Can yousay Yes, I will! to the following? 5+ years of experience with developing solutionsusing machine learning, operation research and pattern searching methods on largescale data. Good understanding on statistical models likehierarchical models, stochastic models, time series, survival and econometricmodels Expert in at least one of the deep learningframeworks such as PyTorch, MxNet, Tensorflow. Hands-on experience in using Spark (Scalaor Pyspark) to process data at large scale and database schemadesign for ML pipelines a must Contribution to open-source ML packages/researchpublications will be a huge bonus

Job Description Role: Data Engineer Experience level: 5 to 7 years Location: Chennai Can you say Yes, I have! to the following? Good understanding of distributed system architecture, data lake design and best practices Working knowledge of cloud-based deployments in AWS, Azure or GCP Coding proficiency in at least one programming language (Scala, Python, Java) Experience in Airflow is preferred Experience in data warehousing, relational database architectures (Oracle, SQL, DB2, Teradata) Expertise in Big Data storage and processing platform (Hadoop, Spark, Hive, HBASE) Skills: Problem solver, fast learner, energetic and enthusiastic Self-motivated and highly professional, with the ability to lead, and take ownership and responsibility Adaptable and flexible to business demands Can you say Yes, I will! to the following? Lead analytical projects and deliver value to customers Coordinate individual teams to fulfil client requirements and manage deliverables Communicate and present complex concepts to business audiences Manage and strategize business from an analytics point of view Travel to client locations when necessary Design algorithms for product development and build analytics-based products

Can you say Yes, I have! to the following? Deploy and maintain critical applications on cloud-native architectures Implement automation, effective monitoring and work towards infrastructure-as code Deploy and maintain CI/CD pipelines across various environments Support and work alongside a cross-functional engineering team on the latest technologies Iterate on best practices to increase the quality & velocity of deployments Sustain and improve the process of knowledge sharing throughout the engineering team Version Control System - SVN, GIT preferred CI Tools - Jenkins (end-to-end automation pipeline creation), Azure Devops, AWS code series or any other equivalent tools Build Tools - Maven, Ant, npm Scripting - Shell, Powershell , Python, Groovy (Jenkins Pipeline Scripting) Cloud - AWS, Azure or GCP (Certified Cloud Expert) Containerization - Docker, Kubernetes Infrastructure as Code - Terraform, Cloudformation Code Quality tool - Sonarqube Ticketing Tools - JIRA Configuration Management - Ansible or any equivalent tools Artifact store - Nexus, Artifactory Experienced in administering Linux and Windows server environments Can you say Yes, I will! to the following? Experience maintaining and deploying highly-available , fault-tolerant systems at scale Practical experience with Docker containerization and clustering (Kubernetes/ECS) Expertise with AWS/Azure/GCP Excellent troubleshooting and problem-solving skills Working knowledge in MySQL, PostgreSQL, NoSQL (Preferably DynamoDB or CosmosDB ), Git, Jenkins/ TravisCi /Gitlab, etc.

Job overview: In this role, youll be part of our Data Science team. With a track record of innovation and taking large ML-based products from conception to delivering value, you will be responsible for developing ML and deep learning models to improve innovation within our Knowledge Graph curation. Your success will result in informed decision-making and stakeholder empowerment for Knowledge Graph use cases within Crayon. You will also directly impact the evolution of our content catalogue. Can you say Yes, I have! to the following? experience with developing solutions using machine learning, operation research and pattern searching methods on large scale data. B.E/B.Tech/MS in Machine Learning, Computer Science, Applied Statistics, Mathematics, or related fields. PhD is a plus Good understanding of statistical models like hierarchical models, stochastic models, time series, survival and econometric models Expert in at least one of the deep learning frameworks such as PyTorch, MxNet, or Tensor flow Hands-on experience in using Spark (Scala or Py spark) to process data at large scale and database schema design for ML pipelines a must Contribution to open-source ML packages/research publications will be a huge bonus

Who Were Looking For A strategic and results-driven Director of GTM and Pre-Sales Engineering to lead go-to-market and pre-sales efforts for our AI-driven products. This role will define and execute GTM strategies to drive customer acquisition, revenue growth, and market expansion, working closely with Product, Marketing, Sales, and Customer Success. Role Overview Join our global team to position Crayon Data as the leading AI solutions provider, working with the founders to shape the Crayon brand and maya.ai platform story. Youll drive GTM and pre-sales efforts, with a strong emphasis on GenAI and Data Science. Key Responsibilities GTM Strategy and Execution : Craft and execute GTM strategies focused on growth in SaaS, Fintech, and AI sectors, with a keen eye on GenAI and Data Science opportunities. Market Analysis and Positioning: Analyze the market to identify key trends, customer needs, and competitor insights, positioning us effectively in AI, Fintech, and SaaS. Pre-Sales Engineering Leadership : Lead pre-sales engineering to develop technical solutions and demonstrations aligned with client needs, showcasing our AI and GenAI capabilities. Cross-functional Collaboration : Align with Product, Sales, Marketing, and Customer Success teams to ensure smooth transitions across the customer journey. Revenue and Sales Enablement : Drive pricing and positioning strategies to maximize profitability. Empower Sales with tools, training, and support for successful pitching and closing. Product Launch and Customer Lifecycle P : lan product launches with Product and Marketing. Drive customer acquisition, retention, and growth strategies using GenAI -driven solutions. Analytics and Reporting : Track and refine GTM and pre-sales metrics, using data-driven insights to continuously optimize strategies. Requirements Experience: 8+ years in GTM or pre-sales leadership; 5+ years in SaaS, Fintech, or AI-driven sectors. Technical Knowledge: Strong grasp of GenAI and Data Science solutions, with hands-on experience in pre-sales engineering. Analytical and Leadership Skills: Data-driven decision-making and experience managing cross-functional teams. Communication and Adaptability: Excellent communicator, able to convey complex ideas simply, with adaptability in a fast-paced environment. Preferred Industry Expertise : Deep knowledge of SaaS, Fintech, AI, and Data Science trends and regulations. Strategic Mindset : Ability to anticipate market shifts and innovate solutions. Client Relationship : Experience fostering client and partner relationships for channel growth.

Extensive knowledge in machine learning concepts, models and algorithms Good knowledge on Machine Learning Operations or Development Operations Good knowledge on software engineering DevOps Well versed in major machine learning operations platforms and providers Quickly adapt to new platforms and tools Can you say Yes, I will! to the following Deliver end-to-end AA & AI model deployment by actively conducting the technical operationalization steps Support the use case squads in code QA/QC to be ready for deployment Contribute to cross-functional problem-solving sessions with use case squad and provide inputs regarding productization Orchestrate production pipeline and model/code transfer to production environment. Ensure it is working as intended Ensure the code transferred to production is bug-free, all sources are setup for production servers Find run-time performance improvement and decide which ML technologies will be used in production environment Monitor model performance, model drift and data drift and take appropriate remedial action to correct model performance Collaborate with other stakeholders (BT, EDM, BU) to ensure all infrastructure requirements are completed for model productization Document the various approach, techniques used in operationalization for maintainability and knowledge sharing purpose Great understanding of different MLOps concepts and platforms Mentor and coach MLOps Engineer on MLOps techniques, processes, new platforms, ways of working and supporting in their use case operationalization delivery

Role: Sr Data Scientist Experience level: 5 to 7 years Location: Chennai Who are we? Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a presence in India and the UAE. Founded in 2012, our mission is to simplify the world’s choices. Our flagship platform, maya.ai , helps enterprises in Banking, Fintech, and Travel unlock the value of their data to create hyperpersonalized experiences and drive sustainable revenue streams. maya.ai is powered by four “as a Service” components – Data, Recommendation, Customer Experience, and Marketplace – that work in unison to deliver tangible business outcomes. Why Crayon? Why now? Crayon is transforming into an AI first company, and every Crayon (that’s what we call ourselves!) is undergoing a journey of upskilling and expanding their capabilities in the AI space. We're building an organization where AI is not a department—it’s a way of thinking. If you’re an engineer who’s passionate about building things, experimenting with models, and applying AI to solve real business problems, you’ll feel right at home in our AI squads. Our environment is designed to be a playground for AI practitioners, with access to meaningful data, real-world challenges, and the freedom to innovate. You won't just be writing models—you’ll be shaping Crayon’s future. Experience : 5+ years Industry : Banking, Financial Services, and AI Team : Data Science Job Overview We are seeking a Senior Data Scientist who thrives at the intersection of business and machine learning. In this role, you will develop and deploy data science models that directly drive outcomes for banking and financial institutions – from boosting sales and cross-sell opportunities to reducing attrition and churn. If you love solving real-world business problems using data and turning insights into action, this is the role for you. What You’ll Do Build and deploy machine learning and statistical models for key banking use cases: cross-sell, upsell, churn prediction, customer segmentation, lead scoring, etc. Work with large-scale structured and unstructured datasets to derive meaningful insights. Translate business problems into analytical solutions and guide clients through data-driven decision-making. Collaborate closely with product, engineering, and consulting teams to deliver production-ready models. Continuously monitor, tune, and improve model performance post-deployment. Mentor junior data scientists and contribute to internal knowledge sharing. Can you say “Yes, I have!” to the following? 5+ years of experience developing ML/AI solutions on large-scale datasets Strong academic background – B.E/B.Tech/MS in Machine Learning, Computer Science, Statistics, Applied Math, or related fields; PhD is a bonus Deep understanding of statistical models – hierarchical, stochastic, time series, survival, and econometric Expertise in at least one deep learning framework – PyTorch, TensorFlow, or MxNet Proficiency in Spark (Scala/PySpark) for large-scale data processing and designing scalable ML pipelines Experience contributing to open-source ML libraries or publishing research is a strong plus. Can you say “Yes, I will!” to the following? Innovate with AI-first thinking Champion scalable, production-grade ML solutions Collaborate across teams to deliver outcomes aligned with business value Stay curious, keep learning, and mentor junior team members Brownie points for: Alignment with The Crayon Box of Values – because while skills can be learned, values are who we are. Passion for building reusable ML components and internal tools Come play, build, and grow with us. # Let’s co-create the future of AI at Crayon . Show more Show less

Job Title: Corporate Development & Investor Relations Manager Location: Chennai Reporting to: VP – Strategy Experience: 5 to 7 years Type: Full-time Who are we? Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a presence in India and the UAE. Founded in 2012, our mission is to simplify the world’s choices. Our flagship platform, maya.ai , helps enterprises in Banking, Fintech, and Travel unlock the value of their data to create hyper personalized experiences and drive sustainable revenue streams. maya.ai is powered by four “as a Service” components -Data, Recommendation , Customer Experience, and Marketplace that work in unison to deliver tangible business outcomes. Step into a High-Impact Role! Are you a dynamic storyteller with a strategic mind and a passion for scaling businesses? We’re looking for a go-getter to own and supercharge our corporate development, investor relations, and governance initiatives. You’ll be at the heart of shaping our growth narrative, building strong investor confidence, and ensuring we stay sharp on governance as we scale. 🌟 What You’ll Own & Drive: 1. Corporate Development & Fundraising Be the face of Crayon to investors and strategic partners - build relationships that move the needle. Craft and tailor irresistible investor pitch decks and narratives that resonate. Team up with Finance to translate our financial model into a compelling story that excites investors. Own and update the cap table - keep it clear, current, and investor-ready. Dive deep into valuations and support every step of our capital-raising journey. 2. Investor Relations Keep our investors in the loop with timely, insightful, and strategic updates. Respond with precision and clarity to investor queries build trust through transparent communication. 3. Board & Leadership Communication Create high-impact board packs, strategic updates, and briefing notes. Run the show behind the scenes - plan board meetings, prep materials, and keep everyone aligned. 4. Corporate Governance Partner with our legal and secretarial teams in Singapore & India to stay on top of compliance. Draft and manage key documents - board resolutions, consents, and governance records. 💡 Who Thrives in This Role? You've rocked roles in corporate development, investor relations, VC/PE, or startups. Numbers don’t scare you - you can read models, spot trends, and explain them effortlessly. You’re a master communicator - clear, concise, and compelling, whether on email or in the boardroom. Organized is your middle name - you keep complex projects moving and stakeholders informed. You know your way around corporate governance in India and Singapore. Thriving in fast-paced, high-stakes environments?

Role: Devops Engineer Experience level: 5 to 7 years Location: Chennai Who are we? Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a presence in India and the UAE. Founded in 2012, our mission is to simplify the world’s choices. Our flagship platform, maya.ai, helps enterprises in Banking, Fintech, and Travel unlock the value of their data to create hyperpersonalized experiences and drive sustainable revenue streams. maya.ai is powered by four “as a Service” components – Data, Recommendation, Customer Experience, and Marketplace – that work in unison to deliver tangible business outcomes. Why Crayon? Why now? Crayon is transforming into an AI-first company, and every Crayon (that’s what we call ourselves!) is on a journey of upskilling and expanding their capabilities in the AI and tech space. We’re building an organization where automation, reliability, and scalability are foundational. If you're a DevOps engineer who thrives on building resilient infrastructure, streamlining CI/CD processes, and enabling teams to deploy faster and smarter—you’ll feel right at home here. Our environment empowers engineers to experiment, optimize, and innovate with real-world challenges, cloud-native architectures, and cutting-edge tools. You won’t just be supporting systems—you’ll be shaping the infrastructure that powers Crayon’s AI future Job Overview The DevOps Engineer will be responsible for building and maintaining robust, scalable, and secure infrastructure to support development and operational needs. This role requires strong expertise in Linux systems, scripting, automation, and CI/CD pipeline management. The engineer will collaborate closely with development and IT teams to ensure smooth deployments, system reliability, and minimal downtime. Experience with monitoring tools, containerization (e.g., Docker, Kubernetes), and cloud platforms like AWS or Azure will be an added advantage. What You’ll Do Build and manage scalable infrastructure to support deployment of machine learning and analytics models for key banking use cases such as cross-sell, upsell, churn prediction, and customer segmentation. Handle large-scale structured and unstructured data pipelines, ensuring availability, reliability, and performance. Translate business and technical requirements into robust DevOps solutions that enable data science and engineering teams to deploy efficiently. Collaborate closely with product, engineering, data science, and consulting teams to ensure seamless integration and delivery of production-ready systems. Continuously monitor, optimize, and automate infrastructure and deployment pipelines for performance and cost efficiency. Mentor junior engineers and contribute to best practices, documentation, and internal tool development. Can you say “Yes, I have!” to the following? Deployed and maintained critical applications on cloud-native architectures Implemented automation, monitoring, and infrastructure as code Built and managed CI/CD pipelines across multiple environments Collaborated with cross-functional engineering teams using modern tech stacks Refined best practices to boost deployment speed and quality Promoted knowledge sharing within the engineering team Technical Expertise: Version Control: SVN, Git CI/CD Tools: Jenkins, Azure DevOps, AWS Code* suite, or equivalents Build Tools: Maven, Ant, npm Scripting: Shell, PowerShell, Python, Groovy (for Jenkins Pipelines) Cloud Platforms: AWS, Azure, GCP (Certified Cloud Expert preferred) Containers: Docker, Kubernetes IaC Tools: Terraform, CloudFormation Code Quality: SonarQube Ticketing Tools: JIRA Configuration Management: Ansible or similar Artifact Repositories: Nexus, Artifactory OS Administration: Linux and Windows environments Can you say “Yes, I will!” to the following? Manage and deploy highly available, fault-tolerant systems at scale Leverage Docker and Kubernetes/ECS for containerized workloads Deep dive into AWS, Azure, or GCP for scalable cloud solutions Apply strong troubleshooting and problem-solving skills Work with MySQL, PostgreSQL, NoSQL (DynamoDB/CosmosDB), Git, Jenkins/TravisCI/GitLab, etc. Brownie points for: Alignment with The Crayon Box of Values – because while skills can be learned, values are who we are. A passion for automating workflows, building scalable infrastructure, and creating internal tools that boost developer productivity and deployment efficiency. Come play, build, and grow with us. # Let’s co-create the future of AI at Crayon.

Role: IT System Admin Experience level: 3 to 5 years Location: Chennai Who are we? Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a presence in India and the UAE. Founded in 2012, our mission is to simplify the world’s choices. Our flagship platform, maya.ai , helps enterprises in Banking, Fintech, and Travel unlock the value of their data to create hyperpersonalized experiences and drive sustainable revenue streams. maya.ai is powered by four “as a Service” components – Data, Recommendation, Customer Experience, and Marketplace – that work in unison to deliver tangible business outcomes. Why Crayon? Why now? Crayon is evolving into an AI-first company, and every Crayon (yes, that’s what we call ourselves!) is part of this transformation. As a System Administrator, you’ll play a vital role in supporting the backbone of our AI-driven infrastructure—ensuring our systems are secure, reliable, and optimized for innovation. Here, AI isn’t just a function—it’s how we think. You’ll be part of a dynamic environment where technology powers creativity, and your work directly enables engineers, analysts, and data scientists to build and deploy cutting-edge solutions. If you're someone who thrives on solving real-world tech challenges and enjoys keeping systems running at their best, Crayon is the place to be. Job Overview The IT Support Engineer will be responsible for providing comprehensive technical support to corporate users. The role requires expertise in Windows OS troubleshooting, Linux and macOS environments, user support, and IT service management. The engineer will manage and resolve technical issues, reduce downtime, and support IT infrastructure in line with business needs. Knowledge of cloud platforms such as AWS or Azure will be considered an added advantage. What You’ll Do Provide onsite and remote support for corporate users across Windows, Linux, and macOS operating systems. Troubleshoot and resolve issues related to desktops, laptops, printers, and peripheral devices. Perform installation, configuration, and maintenance of operating systems (Windows, Linux, macOS) and business applications. Assist in user account management including password resets, access provisioning, and group/permissions management using Active Directory and related tools. Support network connectivity issues (wired, wireless, VPN). Collaborate with IT security teams to ensure compliance with security standards and best practices. Monitor and manage IT service requests through ticketing systems, ensuring timely resolution and quality of support. Provide support for Microsoft 365 applications (Outlook, Teams, SharePoint, OneDrive, MDM, etc.). Assist with hardware and software upgrades and asset inventory tracking. Document incidents, resolutions, and troubleshooting procedures to enhance the internal knowledge base. Ensure adherence to ITIL best practices in incident, change, and problem management. Provide basic support for AWS and Azure resources as needed or assist in coordination with cloud teams. Report to the Manager – Network & Support and provide regular updates on support activities. Can you say “Yes, I have!” to the following? 3+ years of experience in IT support roles within corporate environments. Strong troubleshooting and administration skills in Windows 10 & 11. Working knowledge of Linux and macOS environments for end-user support. Experience with Active Directory, Group Policy, and Exchange/365 user management. Proficient in hardware diagnostics and troubleshooting (laptops, desktops, printers, peripherals). Solid understanding of Microsoft 365 suite and its administration. Basic networking knowledge: TCP/IP, DNS, DHCP, VPN, Wi-Fi. Exposure to cloud platforms such as AWS or Azure (basic user/admin knowledge). Experience with ITSM tools and ticketing systems (e.g., Jira, Fresh service, etc.). Certifications (Preferred): Microsoft Certifications (MCP, MCSA, or Microsoft 365 Certified: Modern Desktop Administrator Associate). CompTIA A+ or CompTIA Network+. ITIL 4 Foundation Certification (Preferred). Linux+ or macOS Support Essentials (Preferred). AWS Certified Cloud Practitioner / Microsoft Azure Fundamentals (optional but an advantage). CCNA / CCNP. Brownie points for: Alignment with The Crayon Box of Values – because while skills can be learned, values define who we are. Passion for building reusable backend components , internal tools, and frameworks that improve developer productivity and system scalability. Come play, build, and grow with us. # Let’s co-create the future of AI at Crayon.

Role: Sr Software Engineer Experience level: 5 to 7 years Location: Chennai Who are we? Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a presence in India and the UAE. Founded in 2012, our mission is to simplify the world’s choices. Our flagship platform, maya.ai , helps enterprises in Banking, Fintech, and Travel unlock the value of their data to create hyperpersonalized experiences and drive sustainable revenue streams. maya.ai is powered by four “as a Service” components – Data, Recommendation, Customer Experience, and Marketplace – that work in unison to deliver tangible business outcomes. Why Crayon? Why now? Crayon is transforming into an AI first company , and every Crayon (that’s what we call ourselves!) is undergoing a journey of upskilling and expanding their capabilities in the AI space. We're building an organization where AI is not a department—it’s a way of thinking . If you’re an engineer who’s passionate about building things, experimenting with models, and applying AI to solve real business problems, you’ll feel right at home in our AI squads. Our environment is designed to be a playground for AI practitioners, with access to meaningful data, real-world challenges, and the freedom to innovate. You won't just be writing models—you’ll be shaping Crayon’s future. Experience : 5+ years Industry : Banking, Financial Services, and AI Team : Engineering Job Overview We are looking for a seasoned Senior Software Engineer who thrives at the intersection of technology and business. In this role, you will design, develop, and deploy robust backend systems and applications that power key initiatives for banking and financial institutions – from enhancing digital banking platforms to enabling seamless integration with AI-driven solutions. If you're passionate about building scalable systems, solving complex technical problems, and delivering impact through clean, maintainable code, this opportunity is for you. What You’ll Do Design, develop, and deploy scalable Java-based applications that support critical banking use cases such as customer onboarding, transaction processing, digital banking services, and AI-driven decision systems. Work with large-scale structured and unstructured datasets , integrating with data pipelines and backend systems to ensure seamless data flow and processing. Translate business requirements into robust technical solutions , ensuring performance, security, and scalability in production environments. Collaborate closely with product managers, data scientists, and engineering teams to integrate ML models and business logic into production applications. Continuously monitor, optimize, and enhance backend systems post-deployment to ensure system reliability and performance. Mentor junior engineers and contribute to best practices, code reviews, and internal knowledge sharing across the engineering team. Can you say “Yes, I have!” to the following? A Bachelor’s degree in Computer Science or in a related field 5+ years of work experience Good knowledge of Data Structures and Algorithms with excellent analytical and problem-solving skills. At least 5 years of experience in Java hands-on development At least 3 years of experience in Spring At least 2 years of experience using implementing the CI/CD process Jenkins, GitHub, SonarQube, Docker, Kubernetes At least 2 years of experience in Quality Assurance technologies like TDD 3+ years of Micro-services experience, Kafka. Experience in working with AWS or Azure cloud platforms.Exposure to or understanding of AI/ML applications in a production environment Can you say “Yes, I will!” to the following? Design, code, debug, test, and validate application micro-services, APIs, Backend develop modular software components and - participate in code reviews; monitor system performance metrics and identify potential risks issues Collaborate in agile scrum team with product owners Out-of-the-box thinking, teamwork, code quality, performance, CICD, and automation Coordinate and scale the evolving cloud-based solutions with product development teams You Build You Own Code, deploy, and production support What would you expect to work on here: Object-Oriented Languages Frameworks (Java, Spring boot), Cloud-Based Technologies (OCI, DevOps, Cloud Native ) Work Experience with data industry is a big plus Working in the financial industry is a big plus. Strong sense of ownership and passion for building scalable, flexible, secured and easy to maintain platforms Up-to-date with emerging technology trends and ability to choose the best. Ability to make the right design decisions related to product features and technology choices. For a large poorly understood Problem, explores solutions (possibly with numerous POCs) to determine correct course of action. Passion for building a strong Engineering culture, operational excellence innovation Brownie points for: Alignment with The Crayon Box of Values – because while skills can be learned, values define who we are. Passion for building reusable backend components , internal tools, and frameworks that improve developer productivity and system scalability. Come play, build, and grow with us. # Let’s co-create the future of AI at Crayon.