Machine Learning Engineer

As an experienced professional in the field of machine learning, you have designed, developed, and deployed real-world machine learning systems to drive the advancement of AI and scale machine learning solutions. Your expertise lies in operationalizing machine learning by creating scalable, robust, and secure products. You excel in leveraging technology to solve complex analytical problems and have a track record of: - Engaging in various stages of machine learning system design and development - Utilizing tools for machine learning pipeline management and monitoring such as MLflow, Pachyderm, Kubeflow, Seldon, and Grafana - Demonstrating proficiency in automation and deployment technologies like CircleCI, Jenkins, GitHub Actions, as well as infrastructure as code tools like Terraform and CloudFormation - Working with distributed processing frameworks like Spark and Dask, and having hands-on experience with cloud platforms and container technologies - Applying software engineering concepts and best practices including testing frameworks, packaging, API design, DevOps, DataOps, and MLOps - Showcasing strong problem-solving skills and a knack for quickly adapting to new technologies, trends, and frameworks Ideally, you hold an advanced degree in computer science, engineering, mathematics, or possess equivalent experience that has equipped you with the knowledge and skills required to excel in this role. If you are passionate about pushing the boundaries of machine learning and AI, and eager to contribute your expertise to a dynamic team, we encourage you to send in your resume to ai.architect@adyog.com.,