Applied AI Engineer II
New
IndiaFull-TimeMiddle
SalaryCompetitive salary with annual performance-based bonus.
Apply NowOpens the employer's application page
Job Details
- Experience
- 3+ years
- Required Skills
- AWSDockerPythonGCPKubernetesMachine LearningAzureCI/CDLinuxMLOps
Requirements
- 3+ years of experience in MLOps, machine learning engineering, or full-stack ML development roles.
- Strong programming skills in Python and familiarity with the scientific Python stack.
- Solid understanding of the ML lifecycle, including training, validation, deployment, and monitoring in production environments.
- Hands-on experience with Kubernetes.
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Experience with CI/CD systems.
- Experience working with ML frameworks and data pipelines in production settings.
- Strong problem-solving mindset with a willingness to dive deep into infrastructure and system-level issues.
- Excellent communication and collaboration skills, with a strong focus on team-based engineering.
- Passion for machine learning systems and scaling AI solutions effectively in real-world environments.
Responsibilities
- Collaborate with data scientists and engineers to build and improve scalable data pipelines, model training workflows, and production-grade ML systems.
- Own troubleshooting and optimization across the full ML stack, including infrastructure layers (Linux, Docker, Kubernetes) and application-level services.
- Support the design and development of on-premises MLOps solutions to ensure smooth transition from research to production deployment.
- Build and maintain tools for model deployment, monitoring, observability, and operational reliability of ML systems.
- Improve CI/CD pipelines to support continuous integration, testing, and deployment of machine learning models and services.
- Optimize ML models for performance, throughput, and scalability in production environments.
- Maintain high engineering standards through code reviews, testing practices, and consistent integration across ML systems.
View Full Description & ApplyYou'll be redirected to the employer's site
