Machine Learning Operations Specialist

2 weeks ago

Chennai, Tamil Nadu, India beBeeMloper Full time ₹ 1,04,000 - ₹ 1,30,878
MLOps Engineer Position">

Our organization is seeking a highly skilled MLOps Engineer to join our team. This individual will be responsible for building and maintaining robust machine learning pipelines, ensuring efficient model deployment, monitoring, and lifecycle management within a cloud-based environment.

">Key Responsibilities:">
  • ">
  • Develop and maintain scalable MLOps pipelines in GCP Vertex AI for end-to-end machine learning workflows.">
  • Manage the full MLOps lifecycle from data preprocessing to model deployment, including model training, testing, and monitoring.">
  • Implement real-time model monitoring and drift detection to ensure optimal model performance over time.">
  • Collaborate with cross-functional teams to automate and streamline machine learning model deployment and monitoring.">
  • Optimize model training and inference processes using GPU accelerators and CUDA.">
  • Set up infrastructure for continuous training, testing, and deployment of machine learning models.">
  • Ensure scalability, security, and high availability in all machine learning operations by implementing best practices in MLOps.">
">Required Skills and Qualifications:">
  • ">
  • Extensive expertise in MLOps, specifically with Google Cloud Platform (GCP) and Vertex AI.">
  • Deep understanding of model performance drift detection and GPU accelerators.">
  • Strong knowledge of Python 3.10, including libraries such as pandas, NumPy, and TensorFlow.">
  • Experience with containerization and orchestration tools, including Jenkins, GitHub Pipelines, Docker, Kubernetes, and OpenShift.">
  • Hands-on experience with CICD, GPU accelerators, and CUDA.">
  • Ability to work effectively in a fast-paced, collaborative environment.">
  • Strong communication and problem-solving skills.">
">Benefits:">

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

">Others:">

This role requires a strong passion for machine learning and a commitment to staying up-to-date with industry trends and advancements.

"],

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