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• Develop machine learning solutions from conception to production• Collaborate with cross-functional teams to integrate ML algorithms• Analyze large datasets to develop machine-learning models• Optimize existing ML systems for efficiency and performance• Utilize cloud services to enhance performance and scalability• Stay updated with latest ML techniques and technologies• Document and present model development to stakeholders• Promote software engineering practices and continuous improvement

• Develop and maintain mobile applications frontend using Ionic 8 Framework and Angular.• Design, build, and maintain efficient, reusable, and reliable Node.js code, including NestJS and ExpressJS frameworks.• Optimize performance of mobile applications and back-end services.• Manage and maintain a PostgreSQL database to ensure robust data handling and storage.• Work closely with the product and design teams to create scalable, user-friendly, and feature-rich mobile apps.• Ensure security and compliance best practices are followed, especially in authentication and user data management.• Contribute to architectural decisions and technological strategy.• Maintain code quality, organization, and automation of tasks.

• Mechanized AI is at the forefront of AI innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions.• We work with enterprise clients to breathe life into their existing software, ensuring that they can meet the demands of today’s fast-paced, digital landscape.• Our team thrives on solving complex challenges and delivering innovative solutions.• We are committed to fostering an environment that encourages creativity, collaboration, and continuous learning.

• Design, implement, and manage CI/CD pipelines with a focus on security at every stage• Automate security testing and integrate security tools into the development workflow• Monitor, detect, and respond to security threats and vulnerabilities in a timely manner• Collaborate with development, QA, and IT teams to ensure security best practices are embedded throughout the software lifecycle• Develop and maintain security policies, procedures, and documentation• Conduct regular security audits, assessments, and code reviews• Provide training and guidance to team members on secure coding practices and DevSecOps methodologies• Implement and manage infrastructure as code (IaC) using tools such as Pulumi, Terraform or CloudFormation• Ensure compliance with industry standards and regulations (e.g., GDPR, HIPAA)• Stay current with the latest security trends, vulnerabilities, and technologies to proactively address potential threats

• We are on the lookout for an ambitious Full Stack Developer to join our vibrant team.• The ideal candidate will have a thorough understanding of developing scalable web applications using NestJS for backend services and React.js for the frontend.• You will focus on crafting robust solutions and work closely with our design team to implement dynamic user experiences.• It is critical to know MySQL databases and ORMs and be fully aware of relational database concepts such as transactions, and have some knowledge of Redis.

• Technical Support is involved in post-sales support work, taking ownership of the customer’s requirements and problems from start to finish.• A successful candidate must help customers and partners overcome technical challenges.• You’re empathetic, love figuring things out, and enjoy a multifaceted role.• You’re an excellent written communicator and solid at time management.• Experience in ecommerce space and SaaS connectivity solutions is required.• Responsibilities include troubleshooting, improving documentation, and fixing bugs on our platform.

• Contribute to building and enhancing our Mechanized AI platform and AI-enabled products including mAI• Modernize• Serve as ML SME on client projects as needed• Design ML systems• Research and implement appropriate ML algorithms and tools• Select appropriate datasets and data representation methods• Run ML tests and experiments• Perform statistical analysis and fine-tuning using test results• Train and retrain systems when necessary• Extend existing ML libraries and frameworks• Stay current with emerging technologies and ML best practices to continuously improve our methodologies and tools

• Develop a style guide that defines our visual identity, including our logo, color palette, typography, imagery, and graphic elements.• Design templates for our marketing materials, invitations, planners, social media kits, and other digital products.

• Design, implement, and manage CI/CD pipelines with a focus on security at every stage• Automate security testing and integrate security tools into the development workflow• Monitor, detect, and respond to security threats and vulnerabilities in a timely manner• Collaborate with development, QA, and IT teams to ensure security best practices are embedded throughout the software lifecycle• Develop and maintain security policies, procedures, and documentation• Conduct regular security audits, assessments, and code reviews• Provide training and guidance to team members on secure coding practices and DevSecOps methodologies• Implement and manage infrastructure as code (IaC) using tools such as Pulumi, Terraform or CloudFormation• Ensure compliance with industry standards and regulations (e.g., GDPR, HIPAA)• Stay current with the latest security trends, vulnerabilities, and technologies to proactively address potential threats

• Company Description: Mechanized AI is at the forefront of AI innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions.• Job Summary: We are seeking an experienced Machine Learning Engineer to join our growing team.• Key Responsibilities: Contribute to building and enhancing our Mechanized AI platform and AI-enabled products including mAI Modernize, Serve as ML SME on client projects as needed, Design ML systems, Research and implement appropriate ML algorithms and tools, Select appropriate datasets and data representation methods, Run ML tests and experiments, Perform statistical analysis and fine-tuning using test results, Train and retrain systems when necessary, Extend existing ML libraries and frameworks, Stay current with emerging technologies and ML best practices to continuously improve our methodologies and tools.