Mechanical Design Engineer

About Talemexa Talemexa Private Limited provides recruitment, staffing, and workforce solutions designed to help organizations identify and engage qualified professionals. Through recruitment consulting and workforce support, we aim to connect businesses with talent that aligns with their technical needs, operational goals, and long-term growth plans. About the Role We are looking for an experienced DevOps Engineer to build and maintain scalable cloud infrastructure, automate deployment workflows, and improve the reliability of production systems. You will work closely with software engineering, security, and operations teams to optimize infrastructure performance, strengthen deployment practices, and support continuous delivery. Key Responsibilities - Build, maintain, and optimize CI/CD pipelines for automated software delivery. - Design and manage scalable cloud infrastructure across AWS, Azure, or Google Cloud. - Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools. - Manage containerized applications and orchestration platforms using Docker and Kubernetes. - Configure monitoring, logging, alerting, and incident response systems. - Identify and resolve infrastructure bottlenecks, deployment failures, and production issues. - Implement cloud security controls, secrets management, access policies, and compliance practices. - Improve system availability, fault tolerance, disaster recovery, and operational efficiency. - Collaborate with development and security teams to adopt DevSecOps practices. - Document infrastructure architecture, operational procedures, and deployment standards. Qualifications - Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience. - 3–6 years of relevant experience in DevOps, Site Reliability Engineering (SRE), or cloud infrastructure. - Strong experience with AWS, Azure, or Google Cloud Platform. - Proficiency with Linux, networking, scripting, and troubleshooting. - Hands-on experience with Jenkins, GitHub Actions, GitLab CI/CD, or equivalent tools. - Experience with Docker, Kubernetes, Terraform, and automated configuration management. - Familiarity with observability tools such as Prometheus, Grafana, or cloud-native monitoring services. - Strong problem-solving, collaboration, and communication skills. Required Skills DevOps Engineering, AWS, Azure, Kubernetes, Docker, Terraform, CI/CD, Linux, Python, Bash, GitHub Actions, Jenkins, Infrastructure as Code, Monitoring, Cloud Security, DevSecOps. Equal Opportunity Employer Talemexa Private Limited is committed to fair and inclusive hiring. We consider qualified candidates based on their skills, experience, and role requirements, and strive to foster a respectful workplace that supports professional growth.

About Talemexa Talemexa Private Limited is a recruitment, staffing, and workforce solutions company focused on helping businesses connect with skilled professionals. We support organizations through talent acquisition, recruitment consulting, and workforce management solutions, helping them build effective teams and meet evolving business requirements. About the Role Talemexa Private Limited is seeking a skilled DevOps Engineer to support the development, deployment, automation, and maintenance of reliable software infrastructure. The ideal candidate will collaborate with development, QA, and operations teams to streamline deployment processes, improve system reliability, and maintain secure, scalable cloud environments. Key Responsibilities - Design, implement, and maintain CI/CD pipelines to automate software builds, testing, and deployments. - Manage cloud infrastructure using AWS, Microsoft Azure, or Google Cloud Platform. - Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools. - Deploy and manage containerized applications using Docker and Kubernetes. - Monitor system performance, application availability, and infrastructure health. - Troubleshoot deployment failures, infrastructure issues, and production incidents. - Implement security best practices, access controls, backup strategies, and disaster recovery procedures. - Collaborate with software developers and QA teams to improve release management and delivery workflows. - Maintain infrastructure documentation and identify opportunities for automation. Qualifications - Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. - 2–5 years of experience in DevOps, cloud engineering, systems administration, or infrastructure engineering. - Hands-on experience with at least one major cloud platform. - Knowledge of Linux systems, networking, scripting, and troubleshooting. - Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI/CD. - Familiarity with Docker, Kubernetes, Terraform, and configuration management tools. - Understanding of cloud security, monitoring, and infrastructure automation. Required Skills DevOps, AWS, Azure, Linux, Docker, Kubernetes, Jenkins, CI/CD, Terraform, Ansible, Git, Python or Bash scripting, Cloud Monitoring, Infrastructure Automation. Equal Opportunity Employer Talemexa Private Limited is committed to providing equal employment opportunities to qualified applicants. We value diversity, professional development, teamwork, and an inclusive work environment where employees can contribute and grow.

About Talemexa Talemexa Private Limited delivers recruitment, staffing, and workforce solutions to help organizations source and engage skilled professionals. Our focus is on recruitment consulting, talent acquisition, and workforce support that helps businesses build capable teams and address changing talent requirements. About the Role We are seeking a Machine Learning Engineer to build, deploy, and maintain production-grade machine learning systems. The role involves working across the machine learning lifecycle, from data preparation and experimentation to model deployment, performance monitoring, and continuous optimization. Key Responsibilities - Design and develop machine learning models for prediction, personalization, ranking, and recommendation. - Build data preparation and feature engineering pipelines. - Train, evaluate, and optimize models using suitable algorithms and frameworks. - Deploy machine learning models into production environments. - Develop monitoring and retraining workflows to maintain model quality. - Improve inference performance, scalability, and computational efficiency. - Collaborate with data scientists, infrastructure engineers, and product teams. - Maintain technical documentation and follow responsible AI practices. Qualifications - Bachelor's or master's degree in Computer Science, Machine Learning, Mathematics, or a related field, or equivalent practical experience. - 3–6 years of experience in machine learning engineering or a related discipline. - Strong proficiency in Python and SQL. - Experience with PyTorch, TensorFlow, or Scikit-learn. - Understanding of statistical modeling, algorithms, and model evaluation. - Experience with cloud infrastructure, model deployment, and MLOps workflows. Required Skills Python, Machine Learning, PyTorch, TensorFlow, SQL, MLOps, Model Deployment, Feature Engineering, Docker, Cloud Computing. Equal Opportunity Employer Talemexa Private Limited is committed to fair and inclusive recruitment. We welcome qualified applicants from diverse backgrounds and aim to provide a professional environment that supports collaboration and career development.