Job description We are giving preference to candidates who are available to join immediately or within the month of June. Machine Learning Engineer (Python, AWS) We are seeking an experienced Machine Learning Engineer with 5+ years of hands-on experience in developing and deploying ML solutions. The ideal candidate will have strong Python programming skills and a proven track record working with AWS services for machine learning. Responsibilities: Design, develop, and deploy scalable machine learning models. Implement and optimize ML algorithms using Python. Leverage AWS services (e.g., Sagemaker, EC2, S3, Lambda) for ML model training, deployment, and monitoring. Collaborate with data scientists and other engineers to bring ML solutions to production. Ensure the performance, reliability, and scalability of ML systems. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of professional experience as a Machine Learning Engineer. Expertise in Python programming for machine learning. Strong experience with AWS services for ML (SageMaker, EC2, S3, Lambda, etc.). Solid understanding of machine learning algorithms and principles. Experience with MLOps practices is a plus. Role: Other Industry Type: IT Services & Consulting Department: Other Employment Type: Full Time, Permanent Role Category: Other Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Communication SkillsMachine LearningAWSPython ML

Job description We are giving preference to candidates who are available to join immediately or within the month of June. Machine Learning Engineer (Python, AWS) We are seeking an experienced Machine Learning Engineer with 5+ years of hands-on experience in developing and deploying ML solutions. The ideal candidate will have strong Python programming skills and a proven track record working with AWS services for machine learning. Responsibilities: Design, develop, and deploy scalable machine learning models. Implement and optimize ML algorithms using Python. Leverage AWS services (e.g., Sagemaker, EC2, S3, Lambda) for ML model training, deployment, and monitoring. Collaborate with data scientists and other engineers to bring ML solutions to production. Ensure the performance, reliability, and scalability of ML systems. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of professional experience as a Machine Learning Engineer. Expertise in Python programming for machine learning. Strong experience with AWS services for ML (SageMaker, EC2, S3, Lambda, etc.). Solid understanding of machine learning algorithms and principles. Experience with MLOps practices is a plus. Role: Other Industry Type: IT Services & Consulting Department: Other Employment Type: Full Time, Permanent Role Category: Other Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Communication SkillsMachine LearningAWSPython ML

Job description We are giving preference to candidates who are available to join immediately or within the month of June. Machine Learning Engineer (Python, AWS) We are seeking an experienced Machine Learning Engineer with 5+ years of hands-on experience in developing and deploying ML solutions. The ideal candidate will have strong Python programming skills and a proven track record working with AWS services for machine learning. Responsibilities: Design, develop, and deploy scalable machine learning models. Implement and optimize ML algorithms using Python. Leverage AWS services (e.g., Sagemaker, EC2, S3, Lambda) for ML model training, deployment, and monitoring. Collaborate with data scientists and other engineers to bring ML solutions to production. Ensure the performance, reliability, and scalability of ML systems. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of professional experience as a Machine Learning Engineer. Expertise in Python programming for machine learning. Strong experience with AWS services for ML (SageMaker, EC2, S3, Lambda, etc.). Solid understanding of machine learning algorithms and principles. Experience with MLOps practices is a plus. Role: Other Industry Type: IT Services & Consulting Department: Other Employment Type: Full Time, Permanent Role Category: Other Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Communication SkillsMachine LearningAWSPython ML

Job description We are giving preference to candidates who are available to join immediately or within the month of June. Machine Learning Engineer (Python, AWS) We are seeking an experienced Machine Learning Engineer with 5+ years of hands-on experience in developing and deploying ML solutions. The ideal candidate will have strong Python programming skills and a proven track record working with AWS services for machine learning. Responsibilities: Design, develop, and deploy scalable machine learning models. Implement and optimize ML algorithms using Python. Leverage AWS services (e.g., Sagemaker, EC2, S3, Lambda) for ML model training, deployment, and monitoring. Collaborate with data scientists and other engineers to bring ML solutions to production. Ensure the performance, reliability, and scalability of ML systems. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of professional experience as a Machine Learning Engineer. Expertise in Python programming for machine learning. Strong experience with AWS services for ML (SageMaker, EC2, S3, Lambda, etc.). Solid understanding of machine learning algorithms and principles. Experience with MLOps practices is a plus. Role: Other Industry Type: IT Services & Consulting Department: Other Employment Type: Full Time, Permanent Role Category: Other Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Communication SkillsMachine LearningAWSPython ML

Job description We are giving preference to candidates who are available to join immediately or within the month of June. Machine Learning Engineer (Python, AWS) We are seeking an experienced Machine Learning Engineer with 5+ years of hands-on experience in developing and deploying ML solutions. The ideal candidate will have strong Python programming skills and a proven track record working with AWS services for machine learning. Responsibilities: Design, develop, and deploy scalable machine learning models. Implement and optimize ML algorithms using Python. Leverage AWS services (e.g., Sagemaker, EC2, S3, Lambda) for ML model training, deployment, and monitoring. Collaborate with data scientists and other engineers to bring ML solutions to production. Ensure the performance, reliability, and scalability of ML systems. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of professional experience as a Machine Learning Engineer. Expertise in Python programming for machine learning. Strong experience with AWS services for ML (SageMaker, EC2, S3, Lambda, etc.). Solid understanding of machine learning algorithms and principles. Experience with MLOps practices is a plus. Role: Other Industry Type: IT Services & Consulting Department: Other Employment Type: Full Time, Permanent Role Category: Other Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Communication SkillsMachine LearningAWSPython ML

Job description We are giving preference to candidates who are available to join immediately or within the month of June. Machine Learning Engineer (Python, AWS) We are seeking an experienced Machine Learning Engineer with 5+ years of hands-on experience in developing and deploying ML solutions. The ideal candidate will have strong Python programming skills and a proven track record working with AWS services for machine learning. Responsibilities: Design, develop, and deploy scalable machine learning models. Implement and optimize ML algorithms using Python. Leverage AWS services (e.g., Sagemaker, EC2, S3, Lambda) for ML model training, deployment, and monitoring. Collaborate with data scientists and other engineers to bring ML solutions to production. Ensure the performance, reliability, and scalability of ML systems. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of professional experience as a Machine Learning Engineer. Expertise in Python programming for machine learning. Strong experience with AWS services for ML (SageMaker, EC2, S3, Lambda, etc.). Solid understanding of machine learning algorithms and principles. Experience with MLOps practices is a plus. Role: Other Industry Type: IT Services & Consulting Department: Other Employment Type: Full Time, Permanent Role Category: Other Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Communication SkillsMachine LearningAWSPython ML

Job description We are giving preference to candidates who are available to join immediately or within the month of June. Machine Learning Engineer (Python, AWS) We are seeking an experienced Machine Learning Engineer with 5+ years of hands-on experience in developing and deploying ML solutions. The ideal candidate will have strong Python programming skills and a proven track record working with AWS services for machine learning. Responsibilities: Design, develop, and deploy scalable machine learning models. Implement and optimize ML algorithms using Python. Leverage AWS services (e.g., Sagemaker, EC2, S3, Lambda) for ML model training, deployment, and monitoring. Collaborate with data scientists and other engineers to bring ML solutions to production. Ensure the performance, reliability, and scalability of ML systems. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of professional experience as a Machine Learning Engineer. Expertise in Python programming for machine learning. Strong experience with AWS services for ML (SageMaker, EC2, S3, Lambda, etc.). Solid understanding of machine learning algorithms and principles. Experience with MLOps practices is a plus. Role: Other Industry Type: IT Services & Consulting Department: Other Employment Type: Full Time, Permanent Role Category: Other Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Communication SkillsMachine LearningAWSPython ML

Job description We are giving preference to candidates who are available to join immediately or within the month of June. Machine Learning Engineer (Python, AWS) We are seeking an experienced Machine Learning Engineer with 5+ years of hands-on experience in developing and deploying ML solutions. The ideal candidate will have strong Python programming skills and a proven track record working with AWS services for machine learning. Responsibilities: Design, develop, and deploy scalable machine learning models. Implement and optimize ML algorithms using Python. Leverage AWS services (e.g., Sagemaker, EC2, S3, Lambda) for ML model training, deployment, and monitoring. Collaborate with data scientists and other engineers to bring ML solutions to production. Ensure the performance, reliability, and scalability of ML systems. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of professional experience as a Machine Learning Engineer. Expertise in Python programming for machine learning. Strong experience with AWS services for ML (SageMaker, EC2, S3, Lambda, etc.). Solid understanding of machine learning algorithms and principles. Experience with MLOps practices is a plus. Role: Other Industry Type: IT Services & Consulting Department: Other Employment Type: Full Time, Permanent Role Category: Other Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Communication SkillsMachine LearningAWSPython ML

Job description We are giving preference to candidates who are available to join immediately or within the month of June. Machine Learning Engineer (Python, AWS) We are seeking an experienced Machine Learning Engineer with 5+ years of hands-on experience in developing and deploying ML solutions. The ideal candidate will have strong Python programming skills and a proven track record working with AWS services for machine learning. Responsibilities: Design, develop, and deploy scalable machine learning models. Implement and optimize ML algorithms using Python. Leverage AWS services (e.g., Sagemaker, EC2, S3, Lambda) for ML model training, deployment, and monitoring. Collaborate with data scientists and other engineers to bring ML solutions to production. Ensure the performance, reliability, and scalability of ML systems. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of professional experience as a Machine Learning Engineer. Expertise in Python programming for machine learning. Strong experience with AWS services for ML (SageMaker, EC2, S3, Lambda, etc.). Solid understanding of machine learning algorithms and principles. Experience with MLOps practices is a plus. Role: Other Industry Type: IT Services & Consulting Department: Other Employment Type: Full Time, Permanent Role Category: Other Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Communication SkillsMachine LearningAWSPython ML

Job description We're looking for a Senior React Native engineer to lead the development, maintenance, and optimization of a React Native SDK built using React Native Bridge and Turbo Modules. The ideal candidate will have hands-on experience successfully building and publishing a React Native SDKeither to package managers like NPM or Yarn, or through GitHub releases. Youll be responsible for the entire SDK lifecycle from development and deployment to compliance and long-term maintenance. This role demands deep expertise in React Native, including Bridge and Turbo Modules, as well as strong proficiency in native mobile development (Kotlin for Android and Swift/Objective-C for iOS). A solid understanding of API integration and the ability to troubleshoot complex cross-platform issues end to end is essential. Requirements Design and Develop React Native SDKs -Build robust, scalable, and modular SDKs using React Native Bridge and Turbo Modules, following industry best practices. Maintain and Optimize SDK Codebase - Continuously improve performance, stability, and maintainability of the SDK, including refactoring and optimizing legacy code. Manage SDK Release Lifecycle - Own the full release process from versioning and packaging to publishing the SDK on NPM or Yarn and handling updates. Ensure Cross-Platform Compatibility - Develop and test the SDK to work seamlessly across both iOS and Android platforms, accounting for platform-specific nuances. Implement Native Modules - Write and integrate native modules in Kotlin (Android) and Swift/Objective-C (iOS) where necessary to extend React Native capabilities. Collaborate with Product and Engineering Teams - Work closely with internal teams to define SDK features, provide technical guidance, and support integration into various apps. Troubleshoot and Debug Issues - Diagnose and resolve complex bugs and performance issues across the entire tech stack from JavaScript to native layers. Ensure Security and Compliance - Build SDKs that meet data privacy, platform compliance, and security standards required for public distribution. Document SDK Usage and Integration - Write clear, comprehensive documentation and examples to help external developers easily integrate and use the SDK. Stay Up to Date with Industry Trends - Keep current with the latest developments in React Native, mobile platforms, and SDK tooling to continuously improve the product. Lead Architecture Decisions - Define the SDK's architecture and design patterns to ensure scalability, modularity, and long-term maintainability. Monitor SDK Usage and Performance - Set up analytics and monitoring tools to track adoption, usage patterns, and performance in real-world applications. Provide Developer Support - Assist internal and external developers with integration issues, troubleshooting, and best practices for using the SDK. Review Code and Enforce Quality Standards - Conduct thorough code reviews and enforce coding standards, test coverage, and CI/CD practices across the SDK repository. Write Unit, Integration, and E2E Tests - Develop comprehensive test suites to ensure code reliability and reduce regressions during updates and releases. Integrate CI/CD Pipelines - Set up and maintain automated build, test, and release pipelines for the SDK using tools like GitHub Actions, Bitrise, or CircleCI if required. Evaluate and Integrate 3rd Party Libraries - Research, evaluate, and safely incorporate third-party libraries where needed, ensuring minimal bloat and maximum stability. Manage SDK Versioning and Backward Compatibility - Carefully handle version updates, changelogs, and ensure that new releases maintain backward compatibility or provide proper migration paths. Contribute to Internal Tools and Templates - Create reusable templates, CLI tools, or internal documentation that streamline development and testing of apps using the SDK. Desired Skills: Expertise in React Native - Deep understanding of the React Native framework, especially around performance optimization, modular architecture, and ecosystem tools. Proficien