Data Scientist

4 days ago

Guntur, Andhra Pradesh, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
MLOPS Data Science Professional

Job Summary:

We are seeking a highly skilled MLOPS Data Scientist to join our team. As an MLOPS Data Scientist, you will be responsible for developing, deploying, and maintaining machine learning models.

Your primary focus will be on collaborating with data engineers to design data pipelines and working with business teams to define success metrics. You will also implement CI/CD practices for machine learning workflows and ensure the scalability and reliability of deployed models.

Key Responsibilities:
  • Develop, train, and validate predictive models using machine learning techniques.
  • Collaborate with data engineers to define data requirements and success metrics.
  • Deploy machine learning models into production using 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.
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.
Benefits:

This role offers a unique opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions. If you are a motivated and talented individual looking to take your career to the next level, we encourage you to apply.

About the Role:

The successful candidate will have a strong foundation in machine learning and data science, as well as excellent communication and collaboration skills. You will work closely with cross-functional teams to design, develop, and deploy machine learning models that drive business outcomes.

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