Lead - ML Engineer / ML Scientist

Location

Bangalore | India

Job description

Primary Skills:

• Machine Learning
• TensorFlow/ MLFlow/ KubeFlow/ AirFlow/ Pachyderm
• Container Orchestration platforms like Kubernetes/ RedHat/ OpenShift/ Rancher
• Experience in any Big Data Technology will be preferred

Qualification: Any Engineering degree

Roles responsibilities:

• Overseeing the end-to-end machine learning lifecycle, from model development to deployment and monitoring.
• Leading a team of MLOps engineers and collaborating with cross-functional teams to ensure successful implementation of machine learning solutions.
• Implementing and optimizing scalable and reliable MLOps workflows using technologies such as TensorFlow, ML Flow, Kubeflow, Airflow, and Pachyderm.
• Managing and maintaining machine learning infrastructure, including container orchestration platforms like Kubernetes, RedHat, OpenShift, and Rancher.
• Collaborating with data scientists, software engineers, and DevOps teams to bridge the gap between development and operations.
• Ensuring the security, scalability, and performance of machine learning systems in production.
• Staying abreast of industry trends and emerging technologies in MLOps and incorporating best practices into our processes

Job tags

Salary