Machine Learning Architect

We are seeking an experienced Machine Learning Engineer / Databricks Architect to join our team and contribute to the development of state-of-the-art, scalable ML and big data solutions. The ideal candidate should have over 8 years of experience in designing ML infrastructure and big data systems, with a strong emphasis on Databricks. Possession of Databricks Architect Certification is mandatory for this role. In addition, the candidate should have at least 4 years of practical experience working with Databricks. The successful candidate should be well-versed in orchestration tools such as Airflow, Kubeflow, DAGster, Optuna, etc. They should also have a solid understanding of CI/CD and DevOps tools like Jenkins, Terraform, and CloudFormation. Proficiency in distributed computing technologies including Apache Spark, EMR/DataProc, and Glue is essential for this role. Hands-on experience with containerization and orchestration tools like Docker and Kubernetes will be highly valued. If you are enthusiastic about constructing scalable ML platforms and have a knack for working with modern cloud-native technologies, we are eager to learn more about you! Feel free to reach out by sending a direct message or submitting your resume to [ankita.gupta@mbww.com]. This position is based in Pune and offers a hybrid working arrangement. Thank you for considering this exciting opportunity!,