Job Description

Key Skills: AI Concepts: Machine Learning, NLP and Deep Learning, AI/ML Technologies: LLM APIs, Prompt Engineering, Machine Learning, GenAi, Advanced ML and Deep Learning Fundamentals (ANN, CNN, RNN)

Roles and Responsibilities:

  • Design, build, and maintain end-to-end machine learning pipelines for batch and large-scale data processing.
  • Deploy, manage, and scale machine learning models in production on AWS using services such as SageMaker, Bedrock, or custom ML infrastructure.
  • Implement and manage MLflow for experiment tracking, model versioning, and model registry management.
  • Architect batch and real-time inference systems optimized for performance, scalability, and cost efficiency.
  • Work with structured, unstructured, and geospatial data, including satellite and aerial imagery where applicable.
  • Collaborate with data scientists to transition models from experimentation to robust pr...

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