Machine Learning Engineer

As an AI Architect at Adyog, you will design, develop, and deploy real-world machine learning systems to advance AI and machine learning solutions to scale. You have operationalized machine learning while building scalable, robust, and secure products. You are a keen problem solver, utilizing technology to work out complex analytical problems. Your qualifications include: - Exposure to different stages of machine learning system design and development - Utilization of tools for machine learning pipeline management and monitoring such as MLflow, Pachyderm, Kubeflow, Seldon, Grafana - Familiarity with automation and deployment technologies like CircleCI, Jenkins, GitHub actions, etc., and infrastructure as code technologies like Terraform, CloudFormation, etc. - Experience with distributed processing frameworks like Spark and Dask, as well as interaction with cloud platforms and container technologies - Practical knowledge of software engineering concepts and best practices including testing frameworks, packaging, API design, DevOps, DataOps, and MLOps - Excellent problem-solving skills and ability to adapt easily to new technologies, trends, and frameworks Additionally, you have gained an advanced degree in computer science, engineering, or mathematics, or have equivalent experience. If you are passionate about leveraging machine learning to solve real-world problems and have the required skills and qualifications, we encourage you to send in your resume to ai.architect@adyog.com.,