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Data Science MLOPS

0 years

0 Lacs

gurugram haryana india

Posted:13 hours ago| Platform: Linkedin logo

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Skills Required

data learning ml model training testing monitoring scalability drift numpy pytorch mlflow airflow sagemaker vertex ai azure engineering etl containerization docker aws gcp statistics algorithms evaluation communication

Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities:

  • Develop, train, and validate predictive and analytical models using machine learning techniques.
  • Collaborate with data engineers and business teams to define data requirements and success metrics.
  • Deploy machine learning models into production using ML Ops best practices.
  • Build automated pipelines for model training, testing, monitoring, and retraining.
  • Optimize model performance and ensure scalability and reliability.
  • Monitor model drift, performance degradation, and ensure continuous improvement.
  • Implement CI/CD practices for machine learning workflows.

Technical Skills Required:

  • Strong proficiency in

    Python

    (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
  • Experience with

    ML Ops tools/frameworks

    (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML).
  • Good understanding of

    data engineering concepts

    (ETL, data pipelines, APIs).
  • Hands-on with

    containerization and orchestration

    (Docker, Kubernetes).
  • Knowledge of

    cloud platforms

    (AWS, GCP, or Azure) for ML model deployment.
  • Strong background in

    statistics, machine learning algorithms, and model evaluation techniques

    .
  • Familiarity with

    version control (Git)

    and CI/CD pipelines.

Preferred Qualifications:

  • Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field.
  • Experience in handling

    large-scale data pipelines

    and

    real-time model serving

    .
  • Exposure to

    feature stores

    and automated model monitoring.
  • Strong problem-solving, analytical, and communication skills.

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