MLOps Engineer

1 week ago

Kolkata, West Bengal, India LTIMindtree Full time ₹ 15,00,000 - ₹ 28,00,000 per year

Key Responsibilities

  • Responsible for building and maintaining robust machine learning pipelines ensuring efficient model deployment monitoring and lifecycle management within a cloud-based environment
  • Extensive expertise in MLOps specifically with Google Cloud Platform GCP and Vertex AI and a deep understanding of model performance drift detection and GPU accelerators
  • Build and maintain scalable MLOps pipelines in GCP Vertex AI for endtoend machine learning workflows
  • Manage the full MLOps lifecycle from data preprocessing model training and deployment to model monitoring and drift detection
  • Implement realtime model monitoring and drift detection to ensure optimal model performance over time
  • Optimize model training and inference processes using GPU accelerators and CUDA
  • Collaborate with cross functional teams to automate and streamline machine learning model deployment and monitoring
  • Utilize Python 310 with libraries such as pandas NumPy and TensorFlow to handle data processing and model development
  • 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

Requirements

  • 5 years of experience in MLOps and building ML pipelines 3 years of experience in GCP Vertex AI
  • Deep understanding of the MLOps lifecycle and automation of ML workflows
  • Proficient in Python 310 and related libraries such as pandas NumPy and TensorFlow
  • Strong experience in GPU accelerators and CUDA for model training and optimization
  • Proven experience in model monitoring drift detection and maintaining model accuracy over time
  • Strong problemsolving skills with the ability to work in a fast paced environment
  • Knowledge of data versioning and model version control techniques

Familiarity with TensorFlow Extended TFX or other ML workflow orchestration frameworks

Skills

Mandatory Skills :
MLOps, Google Cloud Platform GCP and Vertex AI.

Good to Have Skills :
MLOPS - Cloud (AWS/ GCP/ Azure)

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