Machine Learning Innovator

1 day ago

Pune, Maharashtra, India beBeeMachineLearning Full time ₹ 10,00,000 - ₹ 20,00,000

Job Title: Machine Learning Innovator

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Description:

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We are seeking a highly skilled Machine Learning Engineer to join our team. You will play a critical role in designing, building, and deploying production-grade ML systems and pipelines that power key products and solutions.

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Key Responsibilities:

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  • Design and develop scalable ML pipelines using Vertex AI Pipelines, Kubeflow, and Cloud Functions.">
  • Build, train, tune, and deploy models using Vertex AI (AutoML and custom training jobs).">
  • Collaborate with Data Scientists to productionize research models using GCP tools like BigQuery, Dataflow, and Cloud Storage.">
  • Ensure end-to-end ML lifecycle management: training, validation, deployment, versioning, and monitoring.">
  • Apply MLOps best practices for CI/CD in ML (model registry, pipeline automation, reproducibility).">
  • Optimize model performance and cost across cloud services.">
  • Work closely with cross-functional teams (Data Engineers, Product Managers, and DevOps) to deliver high-impact ML solutions.">
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Required Skills:

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  • A minimum of 610 years of experience in building and deploying machine learning solutions is not required.">
  • Strong hands-on experience with Google Cloud Platform (GCP) services, especially Vertex AI (AutoML, Workbench, Pipelines, Model Registry), Cloud Functions, Cloud Storage, Dataflow.">
  • Solid programming skills in Python (with ML libraries like scikit-learn, TensorFlow, or PyTorch).">
  • Experience with CI/CD tools for ML (e.g., Cloud Build, GitHub Actions, MLflow).">
  • Good understanding of ML pipeline orchestration, monitoring, and retraining strategies.">
  • Exposure to containerization (Docker) and orchestration (Kubernetes).">
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Preferred Skills:

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  • Experience with MLOps frameworks (e.g., TFX, Kubeflow).">
  • Experience with data versioning tools like DVC.">
  • Exposure to multi-cloud environments or hybrid cloud setups.">
  • Previous experience in large-scale enterprise ML systems.">
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Benefits:

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This role offers the opportunity to work on cutting-edge projects and collaborate with experienced professionals in the field.

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About Us:

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We are a company dedicated to innovation and excellence in machine learning engineering.

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