":" Role: Data Scientist 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 local presence in India and the UAE. The company was founded in 2012 with the vision of simplifying the worldchoices. Our flagship platform, maya.ai, helps enterprises across the Banking, Fin-tech, and Travel industries create and capture sustainable revenue streams by unlocking the value of data. maya.ais capability is driven by four as a Servicecomponents - Data, Recommendation, Customer Experience, and Marketplace - that work individually and together to create tangible results. Crayon Data recently won the E50 awards organized by KPMG and the Business Times in Singapore. Crayon was featured in HFS Hot Vendors Compendium in 2021. They were also among the top 15 finalists at Emerging Enterprise Awards 2019, Singapore. 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 ","

Job overview:In this role,youllbe part of our Data Science team. Witha track recordof innovation and taking large ML-based products from conception to delivering value, you willbe responsible fordeveloping 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 directlyimpactthe 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, ComputerScience, Applied Statistics, Mathematics, or related fields. PhD is a plusGood 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

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 preferredExperience 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

Seeking a visionary AI Architect to lead the strategic implementation of non-cloud Large Language Models (LLMs) across our organization. As a strategic leader, you'll bridge the gap between business objectives and technical innovation, ensuring the successful and sustainable adoption of AI that drives tangible business value.About The RoleThis is a hybrid role with frequent travel (30-40%) to client locations, including Riyadh.You'll be responsible for leading the entire lifecycle of non-cloud LLM deployments, from strategic planning and model selection to ongoing monitoring and optimization.Key ResponsibilitiesIdentify and prioritize high-impact AI use cases that align with organizational goals.Develop a phased roadmap for LLM implementation, considering scalability and long-term sustainability.Conduct cost-benefit analyses to demonstrate the return on investment (ROI) for non-cloud LLM deployments.Select and fine-tune LLMs tailored to meet specific enterprise requirements.Design robust inference pipelines that ensure high performance and seamless integration with existing on-premise systems.Establish ethical AI frameworks to address bias mitigation and safe deployment practices.Ensure compliance with global regulations (GDPR, CCPA) and industry standards.Foster transparency and fairness in AI operations to build trust among stakeholders.Bridge communication between business, engineering, and data science teams to ensure project success.Organize training sessions and workshops to upskill team members on non-cloud LLMs.Create feedback mechanisms for continuous improvement of AI solutions.Automate pipelines for LLM training, deployment, and regular updates on on-premise infrastructure.Monitor key performance indicators (KPIs) to evaluate model performance and optimize processes.Manage on-premise infrastructure to meet the specific needs of non-cloud LLM deployments.Proactively address data security challenges and mitigate risks associated with compliance breaches.Develop robust audit trails and protocols for explain ability to ensure accountability and trustworthiness in AI solutions.Implement security measures tailored for on-premise LLM deployments.Qualifications10-15 years of experience in artificial intelligence, machine learning, or a related field.Proven experience with non-cloud LLM deployments and architectures.Strong understanding of ethical AI principles and governance frameworks.Excellent communication and collaboration skills to bridge communication gaps between various teams.Leadership experience with a proven track record of driving successful AI projects.Ability to travel frequently (30-40%) to client locations

Can you say Yes, I have! to the following? Good knowledge of Data Structures and Algorithms with excellent analytical and problem-solving skills. Sound knowledge of web-related technologies such as HTTP, REST APIs, Authentication Mechanisms, Security, etc. Experience building highly scalable cloud native backend systems using Java/.NET/ NodeJs or any other equivalent systems Lead complex initiatives with long-term, strategic value Owned capacity and growth of technical systems across multiple domains, defining key metrics Strong communication skills and can simplify technical concepts to explain them to non-technical partners Can you say Yes, I will! to the following? Have a strong sense of ownership and passion for building scalable, flexible, secured and easy to maintain platforms Stay up to date with emerging technology trends and ability to choose the best. Make the right design decisions related to product features and technology choices.Cultivate the ability to take calculated risk. Drive multiple projects and deliver them on time with high quality. Have a passion for building a strong engineering culture, operational excellence innovation Brownie points for: Experience working with highlysecure and scalable products on FSI sector Knowledge on Machine Learning systems and product ionizing models Alignment with The Crayon Box of Values -- because skills can be acquired, but values cannot!

Can you say Yes, I have! to the following?Deploy and maintain critical applications on cloud-native architecturesImplement automation, effective monitoring and work towards infrastructure-as codeDeploy and maintain CI/CD pipelines across various environmentsSupport and work alongside a cross-functional engineering team on the latest technologiesIterate on best practices to increase the quality & velocity of deploymentsSustain and improve the process of knowledge sharing throughout the engineering teamVersion 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, npmScripting - Shell, Powershell, Python, Groovy (Jenkins Pipeline Scripting) Cloud - AWS, Azure or GCP (Certified Cloud Expert) Containerization - Docker, Kubernetes Infrastructure as Code - Terraform, CloudformationCode Quality tool - SonarqubeTicketing Tools - JIRA Configuration Management - Ansible or any equivalent tools Artifact store - Nexus, Artifactory Experienced in administering Linux and Windows server environmentsCan you say Yes, I will! to the following? Experience maintaining and deploying highly-available, fault-tolerant systems at scalePractical experience with Docker containerization and clustering (Kubernetes/ECS)Expertise with AWS/Azure/GCPExcellent troubleshooting and problem-solving skillsWorking knowledge in MySQL, PostgreSQL, NoSQL (Preferably DynamoDB or CosmosDB), Git, Jenkins/TravisCi/Gitlab, etc.

Senior Software Engineer(L2):Can you say Yes, I have! to the following?A Bachelors degree in Computer Science or in a related field5+ years of work experienceGood knowledge of Data Structures and Algorithms with excellent analytical and problem-solving skills.At least 5 years of experience in Java hands-on developmentAt least 3 years of experience in SpringAt least 2 years of experience using implementing the CI/CD processJenkins, GitHub, SonarQube, Docker, KubernetesAt least 2 years of experience in Quality Assurance technologies like TDD3+ years of Micro-services experience, KafkaCan 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 issuesCollaborate in agile scrum team with product ownersOut-of-the-box thinking, teamwork, code quality, performance, CICD, and automationCoordinate and scale the evolving cloud-based solutions with product development teamsYou Build You OwnCode, deploy, and production supportWhat 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 plusWorking in the financial industry is a big plus.Strong sense of ownership and passion for building scalable, flexible, secured and easy to maintain platformsUp-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

Who Were Looking ForA 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 OverviewJoin 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 ResponsibilitiesGTM 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 LifecycleP: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.RequirementsExperience: 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.PreferredIndustry 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.

Job DescriptionRole: Data EngineerExperience level: 5 to 7 yearsLocation: 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 preferredExperience 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