Machine Learning 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 provides recruitment, staffing, and workforce solutions to help organizations find qualified professionals and build effective teams. We focus on talent acquisition, recruitment consulting, and workforce support, helping employers align skilled professionals with business goals. About the Role We are looking for an experienced AI Engineer to develop production-ready artificial intelligence applications and intelligent automation systems. You will work with technical and business stakeholders to transform complex requirements into scalable AI solutions, with a focus on generative AI, LLM-powered applications, and reliable software integrations. Key Responsibilities - Build and maintain AI-powered software applications. - Develop LLM-based solutions, retrieval-augmented generation (RAG) pipelines, and intelligent automation workflows. - Integrate AI services with backend systems and external APIs. - Evaluate model performance, response quality, latency, and cost. - Deploy and maintain applications using cloud infrastructure. - Implement testing, monitoring, and security best practices. - Collaborate with cross-functional teams to deliver business-focused AI products. Qualifications - Bachelor's or master's degree in Computer Science, Engineering, or a related field, or equivalent experience. - 3–6 years of relevant engineering experience. - Strong Python programming and software engineering skills. - Experience with LLMs, generative AI, and AI application frameworks. - Familiarity with cloud platforms, databases, APIs, and deployment pipelines. - Strong analytical, communication, and problem-solving skills. Required Skills Python, Generative AI, LLMs, RAG, API Integration, FastAPI, SQL, Docker, Cloud Platforms, CI/CD. Equal Opportunity Employer Talemexa Private Limited is committed to fair hiring practices and equal employment opportunities for all qualified applicants. We value collaboration, professional growth, and an inclusive workplace.