Machine Learning - DevOps - Cloud - Engineer

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Overview

The Tann Mann Gaadi is seeking a skilled Machine Learning - DevOps - Cloud Engineer to join our dynamic team. In this role, you will be responsible for integrating machine learning models into existing cloud infrastructure while optimizing the deployment processes. Your expertise in cloud environments and DevOps practices will be vital in developing scalable and efficient solutions that enhance our services. The ideal candidate will collaborate with data scientists and software developers to ensure evolving machine learning projects are executed smoothly and effectively across the organization.

Job Responsibilities

• Design, implement, and maintain robust CI/CD pipelines for machine learning models.
• Automate the deployment and monitoring of machine learning applications in cloud environments.
• Collaborate with data science teams to understand models and integrate them into production systems.
• Ensure the reliability and performance of deployed applications through continuous monitoring and testing.
• Optimize cloud infrastructure for cost-efficiency and scaling, including storage and compute resources.
• Develop and document best practices for machine learning model deployment.
• Provide technical support to development teams regarding machine learning tools and cloud platforms.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience in machine learning, DevOps, and cloud computing.
• Strong proficiency with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with containerization technologies such as Docker and Kubernetes.
• Solid understanding of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Strong programming skills in Python, Java, or similar languages.
• Experience in scripting and automation using tools like Jenkins, Git, or Terraform.

Technologies & Tools

In this position, the Machine Learning - DevOps - Cloud Engineer will work with various technologies and tools, including but not limited to AWS Cloud Services, Azure Machine Learning, Docker, Kubernetes, Terraform, Jenkins, Git, and relevant machine learning frameworks such as TensorFlow and PyTorch. Proficiency in these technologies is essential for the success of the role.

Ideal Candidates

The ideal candidates for this position will possess a blend of analytical skills, technical expertise, and a collaborative spirit. They will exhibit strong problem-solving abilities and a proactive attitude towards learning new technologies. Excellent communication skills are essential for articulating technical concepts to a non-technical audience. A passion for innovation and a commitment to continuous improvement will make someone particularly well-suited for the dynamic environment at The Tann Mann Gaadi.