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zorba ai

Machine Learning Engineer_5+ Years

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Job Description

Job Description

We are hiring a Machine Learning Engineer with strong experience in building and deploying scalable ML solutions. The candidate will be responsible for end-to-end ML lifecycle including model development, deployment, monitoring, and optimization.

Key Responsibilities

  • Develop, deploy, and maintain machine learning models in production
  • Build and manage ML pipelines for training, batch, and real-time inference
  • Convert Data Science models into production-ready solutions
  • Implement feature engineering pipelines and feature stores
  • Work on model deployment using Docker, APIs, or cloud services
  • Monitor model performance (data drift, accuracy, degradation)
  • Implement CI/CD pipelines for ML workflows
  • Collaborate with Data Engineers, Data Scientists, and DevOps teams

Required Skills (Must Have)

  • Strong experience in Python and SQL
  • Hands-on experience with Machine Learning & MLOps
  • Experience with MLflow / model registry tools
  • Good knowledge of Apache Spark / DataFrames
  • Experience in CI/CD tools (Azure DevOps / GitHub Actions)
  • Hands-on with Docker (Kubernetes is a plus)
  • Cloud experience in Microsoft Azure
  • Experience in model deployment & monitoring

Good to Have

  • Knowledge of TensorFlow / PyTorch
  • Understanding of Deep Learning concepts
  • Experience in feature engineering & model evaluation
  • Exposure to Databricks

Skills: pipelines,machine learning,ml engineer

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Job ID: 147687163

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Noida, India

Skills:

Machine LearningArtificial IntelligenceNatural Language ProcessingTensorflowNltkPytorchPythonLangChainGenerative AIHugging Face TransformersRAG retrieval augmented generationScikit-learnChatbot developmentprompt engineeringNLP libraries and frameworksspaCyMLOps toolsOpenAICohereLarge Language Models