DevOps Engineer

**Job Title:** DevOps Engineer with Machine Learning Expertise **Location:** Hyderabad, India **Job Type:** Full-time **Experience:** 5+ years **About the Role:** We are seeking a highly skilled DevOps Engineer with expertise in Machine Learning to join our team in Hyderabad. The ideal candidate will have a strong background in DevOps practices, Python programming, and experience with AWS services. This role requires a deep understanding of software development lifecycles, cloud computing, and machine learning concepts. **Key Responsibilities:** 1. **Design and Implement DevOps Pipelines:** Develop and maintain continuous integration and continuous deployment (CI/CD) pipelines using tools like Jenkins, GitLab CI/CD, or similar technologies. 2. **Machine Learning Model Deployment:** Deploy and manage machine learning models on AWS services such as SageMaker, Rekognition, or Comprehend. 3. **Cloud Infrastructure Management:** Manage and maintain cloud infrastructure on AWS, including provisioning, scaling, and securing resources. 4. **Monitoring and Logging:** Set up and maintain monitoring and logging tools like Prometheus, Grafana, or ELK Stack to ensure system performance and reliability. 5. **Collaboration and Communication:** Collaborate with cross-functional teams, including development, data science, and operations to ensure smooth deployment and operation of ML models. 6. **Automation and Scripting:** Write scripts and automate tasks using Python, AWS CLI, or other tools to improve efficiency and reduce manual errors. 7. **Security and Compliance:** Ensure adherence to security and compliance standards, such as HIPAA, PCI-DSS, or GDPR, in the deployment and operation of ML models. 8. **Troubleshooting and Support:** Troubleshoot and resolve issues related to ML model deployment, infrastructure, and monitoring tools. **Requirements:** 1. **5+ years of experience** in DevOps engineering, machine learning, or a related field. 2. **Strong background** in Python programming and experience with AWS services. 3. **Experience** with VSCode, Jenkins, GitLab CI/CD, or similar tools. 4. **Knowledge** of machine learning concepts, including supervised and unsupervised learning, neural networks, and deep learning. 5. **Excellent communication and collaboration** skills to work with cross-functional teams. 6. **Strong problem-solving** skills to troubleshoot and resolve complex technical issues. 7. **Certifications** in AWS, DevOps, or machine learning are a plus. **Nice to Have:** 1. Experience with containerization using Docker and Kubernetes. 2. Knowledge of cloud-native applications and serverless computing. 3. Experience with data engineering and data warehousing. 4. Familiarity with Agile development methodologies and Scrum. **What We Offer:** 1. Competitive salary and benefits package. 2. Opportunities for career growth and professional development. 3. Collaborative and dynamic work environment. 4. Recognition and rewards for outstanding performance. 5. Flexible working hours and remote work options. **How to Apply:** If you are a motivated and experienced DevOps Engineer with a passion for machine learning, please submit your resume and a cover letter explaining why you are the ideal candidate for this role.