Machine Learning Model Developer

2 weeks ago


Kanpur, Uttar Pradesh, India beBeeData Full time ₹ 15,00,000 - ₹ 20,10,000
Job Opportunity: Data Scientist

We are seeking a skilled Data Scientist to join our MLOps team.

The ideal candidate will develop, train, and validate predictive and analytical models using machine learning techniques.

Main Responsibilities:

  1. Collaborate with data engineers and business stakeholders to define data requirements and success metrics.
  2. Deploy machine learning models into production using ML Ops best practices.
  3. Build automated pipelines for model training, testing, monitoring, and retraining.
  4. Optimize model performance and ensure scalability and reliability.
  5. Monitor model drift, performance degradation, and ensure continuous improvement.
  6. Implement CI/CD practices for machine learning workflows.

Required Skills and Qualifications:

  • 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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