Manager - Data Science

As an ideal candidate for this role, you should have the ability to design and implement cloud solutions, and build MLOps pipelines on cloud solutions such as AWS, MS Azure, or GCP. You should also have experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow, as well as familiarity with Docker and Kubernetes, OpenShift. Your proficiency in programming languages like Python, Go, Ruby, or Bash, along with a good understanding of Linux, and knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, will be beneficial for this role. Additionally, your ability to understand tools used by data scientists, and experience with software development and test automation are crucial requirements. Moreover, a good understanding of advanced AI/ML algorithms and their applications, as well as experience in Applications and Digital Automation Solutions, Low Code / No Code and Automation Platforms, designing APIs, exposure to DevOps, React/Angular, containers, and building a visualization layer will be highly valued in this role. Knowledge of self-service analytics platforms such as Dataiku, KNIME, Alteryx will be an added advantage. Proficiency in MS Excel is mandatory for this position. Familiarity with Life Sciences is considered a plus. **Key Responsibilities:** - Design and implement cloud solutions - Build MLOps pipelines on cloud solutions (AWS, MS Azure, GCP) - Work with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow - Utilize programming languages like Python, Go, Ruby, Bash - Understand tools used by data scientists - Experience with software development and test automation - Knowledge of advanced AI/ML algorithms and their applications - Design APIs, exposure to DevOps, React/Angular, containers - Familiarity with self-service analytics platforms such as Dataiku, KNIME, Alteryx **Qualifications Required:** - Proficiency in programming languages like Python, Go, Ruby, Bash - Good understanding of Linux and frameworks such as scikit-learn, Keras, PyTorch, Tensorflow - Experience with MLOps Frameworks and cloud solutions - Knowledge of advanced AI/ML algorithms and their applications - Familiarity with self-service analytics platforms - Mandatory proficiency in MS Excel Please omit this section if no additional details of the company are mentioned in the job description.,