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Infrastructure Engineer (DevOps/ML Ops)

Applied Innovative Methods is a pioneering startup dedicated to transforming weather forecasting through the power of artificial intelligence and data science. Our mission is to provide accurate and actionable weather predictions. We are looking for passionate and talented individuals to join our team and contribute to our cutting-edge solutions.

Job Description

We are seeking a highly skilled and motivated Infrastructure Engineer with a focus on DevOps and ML Ops to join our growing team. The ideal candidate will have a strong background in building and maintaining scalable infrastructure, deploying machine learning models, and ensuring the seamless operation of our AI systems. You will work closely with our data scientists, software engineers, and product teams to create and manage robust, scalable, and secure systems that support our AI-driven products.

Key Responsibilities

- Design, implement, and maintain scalable, reliable, and secure cloud-based infrastructure (e.g., AWS).
Build and maintain automated workflows for data preprocessing, model training, evaluation, and deployment.
- Ensure the reliability and performance of ML models through continuous monitoring and optimization.
- Deploy, monitor, and manage machine learning models in production environments.
- Implement and manage containerization technologies to streamline development and deployment workflows.
- Collaborate with development teams to integrate DevOps best practices into the software development lifecycle.
- Work closely with data scientists, software engineers, and product teams to understand their infrastructure needs and provide technical support.
- Document infrastructure designs, processes, and procedures for internal use and knowledge sharing.


- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
- Proven experience as an Infrastructure Engineer, DevOps Engineer, or ML Ops Engineer.
- Strong knowledge of cloud platforms (AWS, GCP, Azure) and cloud-native services.
- Understanding of machine learning model deployment and management.
- Strong scripting skills (e.g., Python, Bash) for automation and workflow management.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Preferred Qualifications

- Experience with ML Ops platforms and tools
- Knowledge of monitoring and logging tools.
- Familiarity with data engineering workflows and tools.

Why Join Us

- Be part of an innovative startup with a mission to revolutionize weather forecasting.
- Work in a collaborative and inclusive environment.
- Opportunities for professional growth and development.
- Competitive salary and benefits package.
- Flexible work hours and remote work options.

How to Apply: Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and interest in the position to with the subject line “Infrastructure Engineer (DevOps/ML Ops) Application – [Your Name].”

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