Machine Learning - DevOps - Cloud - Engineer

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Overview

The Machine Learning - DevOps - Cloud Engineer at The Tann Mann Gaadi will play a pivotal role in designing, implementing, and maintaining highly scalable machine learning solutions in a cloud environment. This position requires a blend of expertise in machine learning models and DevOps practices coupled with hands-on experience in cloud platforms. The successful candidate will work collaboratively with data scientists, developers, and product managers to streamline the deployment of machine learning models while ensuring effective operational workflows, performance optimization, and security compliance.

Job Responsibilities

• Design and implement machine learning pipelines for model training, evaluation, and deployment.
• Collaborate with cross-functional teams to understand project requirements and translate them into actionable DevOps solutions.
• Manage and optimize cloud infrastructure for scalable machine learning applications.
• Monitor model performance in production and make recommendations for improvements.
• Automate repetitive tasks using scripting and configuration management tools.
• Ensure data integrity, security, and compliance with industry standards.
• Provide technical support and troubleshooting for deployed machine learning services.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
• 3+ years of experience in DevOps or cloud engineering with a strong focus on machine learning.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Knowledge of containerization technologies (Docker, Kubernetes).
• Strong understanding of CI/CD pipelines and automated testing practices.

Technologies & Tools

The Machine Learning - DevOps - Cloud Engineer will utilize a diverse array of technologies and tools, including but not limited to AWS, Azure, Google Cloud, Docker, Kubernetes, Jenkins for CI/CD, and machine learning libraries such as TensorFlow, PyTorch, and scikit-learn. Experience with monitoring tools and version control systems, such as Git, will also be crucial.

Ideal Candidates

Ideal candidates for this position will possess strong analytical skills, be highly detail-oriented, and demonstrate a passion for leveraging technology to solve complex challenges. They should exhibit excellent communication capabilities and the ability to work in a team-oriented environment. Adaptability to evolving technologies and a proactive approach to problem-solving are key traits that will contribute to success in this role at The Tann Mann Gaadi.