AI DevOps Engineer – Fresher Jobs in Magnus Technology Solutions New York, NY

Job Title: AI DevOps Engineer – Fresher

Location: on site or hybrid
Job Type: Full-Time 
Experience: 0–1 year (Freshers welcome)
Department: AI / DevOps / IT Infrastructure

Job Summary:

We are seeking a passionate and motivated AI DevOps Engineer (Fresher) to join our growing team. This role combines the principles of software engineering, DevOps practices, and AI/ML operations. You will work alongside data scientists, software developers, and cloud engineers to help build, deploy, and maintain machine learning pipelines and AI services in scalable environments.

Key Responsibilities:

• Assist in the deployment and monitoring of AI/ML models in production environments.

• Help set up CI/CD pipelines for machine learning workflows.

• Support containerization and orchestration using tools like Docker and Kubernetes.

• Work with cloud platforms (AWS, Azure, or GCP) to manage scalable infrastructure for AI applications.

• Collaborate with data engineers and data scientists to automate data pipelines and model training.

• Monitor system performance, logs, and health of deployed models and services.

• Assist in version control, model registry, and reproducibility of experiments.

• Participate in code reviews, documentation, and daily standups as part of an Agile team.

Required Skills:

• Basic knowledge of DevOps tools like Git, Jenkins, Docker, Kubernetes, etc.

• Exposure to Python and familiarity with ML libraries like Scikit-learn, TensorFlow, or PyTorch.

• Understanding of CI/CD pipelines, version control (Git), and code deployment.

• Familiarity with Linux/Unix-based systems and shell scripting.

• Basic knowledge of cloud platforms (AWS/GCP/Azure) is a plus.

• Strong analytical and problem-solving skills.

• Eagerness to learn and adapt in a fast-paced environment.

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.

• Completion of any DevOps or AI/ML certification (AWS Cloud Practitioner, Google Associate Cloud Engineer, Azure Fundamentals, MLOps, etc.)

• Internship or academic project experience in AI/ML or DevOps tools is a plus.

What We Offer:

• Hands-on training and mentorship from experienced engineers.

• Opportunity to work on cutting-edge AI and DevOps projects.

• Career growth and learning paths in DevOps, MLOps, and Cloud Engineering.

• Friendly and collaborative team culture.