Machine Learning Engineer

3 days ago

Davangere, Karnataka, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Develop a deep understanding of predictive and analytical models using machine learning techniques.

Build a collaborative environment with data engineers and business teams to define data requirements and success metrics.

Deploy machine learning models into production using established best practices.

Establish 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.

A strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow) is essential.

Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML) is highly valued.

A good understanding of data engineering concepts (ETL, data pipelines, APIs) is required.

Hands-on experience with containerization and orchestration (Docker, Kubernetes) is necessary.

Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment is beneficial.

A strong background in statistics, machine learning algorithms, and model evaluation techniques is crucial.

Familiarity with version control (Git) and CI/CD pipelines is essential.

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.

We are committed to diversity and inclusion. We welcome applications from qualified candidates of all backgrounds.

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