Data Science Engineer

Job Title:

Location:

Employment Type:

Experience:

Notice Period:

Job Summary:

Data Science Engineer

Roles and Responsibilities:

• Design and develop scalable data science and ML pipelines using Python, SQL, and cloud technologies.
• Implement, train, and deploy machine learning models for predictive and analytical use cases.
• Collaborate with data engineering teams to ensure data quality, consistency, and availability for modeling.
• Perform exploratory data analysis (EDA), feature engineering, and data validation.
• Optimize ML model performance and automate retraining workflows.
• Integrate AI solutions into production systems and ensure model monitoring and maintenance.
• Document data workflows, model architecture, and best practices.

Qualifications and Skills:

• 5+ years of hands-on experience in Data Science, ML Engineering, or Advanced Analytics.
• Strong programming skills in

  Python

  (Pandas, NumPy, Scikit-learn, etc.) and

  SQL

  .
• Solid understanding of

  machine learning algorithms

  , statistical modeling, and data preprocessing.
• Experience in

  ETL / ELT development

  and working with

  data warehousing concepts

  .
• Proficiency with tools like

  Airflow

  ,

  TensorFlow

  ,

  PyTorch

  , or

  MLflow

  is a plus.
• Exposure to

  cloud platforms (GCP, AWS, or Azure)

  and CI/CD for ML pipelines.
• Strong problem-solving, analytical, and debugging skills.

Preferred Skills

• Experience with

  BigQuery

  ,

  Dataflow

  , or

  Azure ML / AWS SageMaker

  .
• Familiarity with

  data lake architectures

  ,

  API-based data ingestion

  , and

  containerization (Docker/Kubernetes)

  .
• Exposure to

  MLOps

  tools and practices.

To Apply:

Send your resume to- hiring@radarsoft.tech